Overview

Dataset statistics

Number of variables303
Number of observations19191
Missing cells0
Missing cells (%)0.0%
Total size in memory44.4 MiB
Average record size in memory2.4 KiB

Variable types

Numeric303

Alerts

A19B is highly skewed (γ1 = 137.5018312) Skewed
D13B is highly skewed (γ1 = 25.63395142) Skewed
D13C1 is highly skewed (γ1 = 37.66803805) Skewed
D13D is highly skewed (γ1 = 26.05802175) Skewed
D13E is highly skewed (γ1 = 119.3765329) Skewed
D14A is highly skewed (γ1 = 77.6992014) Skewed
D14B is highly skewed (γ1 = 54.74636017) Skewed
D14C is highly skewed (γ1 = 64.22259703) Skewed
D14F is highly skewed (γ1 = 43.31468868) Skewed
D15A is highly skewed (γ1 = 43.25974826) Skewed
D17 is highly skewed (γ1 = 34.56252758) Skewed
D17A is highly skewed (γ1 = 27.55562813) Skewed
E11B is highly skewed (γ1 = 72.29420004) Skewed
E12C is highly skewed (γ1 = 80.27874797) Skewed
E14C1 is highly skewed (γ1 = 80.20352559) Skewed
E14D is highly skewed (γ1 = 34.59227358) Skewed
E14D2 is highly skewed (γ1 = 49.36422879) Skewed
E15B is highly skewed (γ1 = 33.02954974) Skewed
F10 is highly skewed (γ1 = 56.53317533) Skewed
F11A is highly skewed (γ1 = 54.1737061) Skewed
F11A1 is highly skewed (γ1 = 34.14655411) Skewed
F11B1 is highly skewed (γ1 = 57.25583656) Skewed
H2C is highly skewed (γ1 = 32.30956905) Skewed
H9A1 is highly skewed (γ1 = 53.02034736) Skewed
H9A2 is highly skewed (γ1 = 24.0019091) Skewed
H9B1 is highly skewed (γ1 = 42.16313091) Skewed
H9B2 is highly skewed (γ1 = 31.95670268) Skewed
H9C is highly skewed (γ1 = 26.12472023) Skewed
H9C1 is highly skewed (γ1 = 56.16498927) Skewed
H9C2 is highly skewed (γ1 = 39.93570413) Skewed
H9D1 is highly skewed (γ1 = 41.8017214) Skewed
H9F1 is highly skewed (γ1 = 38.83906554) Skewed
H9F2 is highly skewed (γ1 = 63.61882528) Skewed
H9G1 is highly skewed (γ1 = 25.64076842) Skewed
H9Q1 is highly skewed (γ1 = 29.80013633) Skewed
H9R1 is highly skewed (γ1 = 55.47063565) Skewed
H9i is highly skewed (γ1 = 21.30731646) Skewed
H9i1 is highly skewed (γ1 = 47.1173628) Skewed
H9i2 is highly skewed (γ1 = 67.29806199) Skewed
H9T is highly skewed (γ1 = 33.55680655) Skewed
H9T1 is highly skewed (γ1 = 69.85669943) Skewed
H9M2 is highly skewed (γ1 = 41.69234224) Skewed
H10C is highly skewed (γ1 = 23.07504308) Skewed
spif is highly skewed (γ1 = 24.80967596) Skewed
gpif is highly skewed (γ1 = 25.09565907) Skewed
dif is highly skewed (γ1 = 117.0419168) Skewed
gpina is highly skewed (γ1 = 76.61188958) Skewed
inmpina is highly skewed (γ1 = 42.08025173) Skewed
gpsfi is highly skewed (γ1 = 118.4116845) Skewed
gpia is highly skewed (γ1 = 55.8991414) Skewed
inmpia is highly skewed (γ1 = 40.27991891) Skewed
ipsp is highly skewed (γ1 = 69.44397699) Skewed
bsp is highly skewed (γ1 = 57.61368705) Skewed
oisp is highly skewed (γ1 = 116.0915752) Skewed
spnmv is highly skewed (γ1 = 30.47620307) Skewed
spnmt is highly skewed (γ1 = 24.85709494) Skewed
spnmvh is highly skewed (γ1 = 65.23348487) Skewed
spnmo is highly skewed (γ1 = 40.30416881) Skewed
ssif is highly skewed (γ1 = 78.69229601) Skewed
gpsif is highly skewed (γ1 = 70.15602144) Skewed
gsi is highly skewed (γ1 = 61.73517364) Skewed
inmsi is highly skewed (γ1 = 72.15231123) Skewed
ssmb is highly skewed (γ1 = 59.65818566) Skewed
ssmn is highly skewed (γ1 = 53.61526912) Skewed
ssnm is highly skewed (γ1 = 132.5924825) Skewed
ia is highly skewed (γ1 = 56.33882712) Skewed
ii is highly skewed (γ1 = 47.65097983) Skewed
id is highly skewed (γ1 = 61.39422609) Skewed
ib is highly skewed (γ1 = 81.73959929) Skewed
ts is highly skewed (γ1 = 39.30982198) Skewed
tbc is highly skewed (γ1 = 68.21747257) Skewed
tpa is highly skewed (γ1 = 25.84110652) Skewed
tapa is highly skewed (γ1 = 29.68518941) Skewed
tsepa is highly skewed (γ1 = 55.21928285) Skewed
ttpa is highly skewed (γ1 = 27.81806526) Skewed
tpe is highly skewed (γ1 = 42.31325368) Skewed
tape is highly skewed (γ1 = 52.61928599) Skewed
ttpe is highly skewed (γ1 = 43.62649151) Skewed
te is highly skewed (γ1 = 52.86561458) Skewed
ot is highly skewed (γ1 = 50.38563622) Skewed
tnm is highly skewed (γ1 = 23.20858859) Skewed
ipinm is highly skewed (γ1 = 39.95049404) Skewed
ipim is highly skewed (γ1 = 60.54980321) Skewed
ipit is highly skewed (γ1 = 60.01778756) Skewed
isit is highly skewed (γ1 = 50.76080051) Skewed
issb is highly skewed (γ1 = 59.58653433) Skewed
issn is highly skewed (γ1 = 53.51957768) Skewed
isbt is highly skewed (γ1 = 42.23331391) Skewed
isnt is highly skewed (γ1 = 37.34906388) Skewed
irp is highly skewed (γ1 = 45.96521017) Skewed
sab is highly skewed (γ1 = 35.24802627) Skewed
san is highly skewed (γ1 = 38.93547649) Skewed
iag is highly skewed (γ1 = 40.08799284) Skewed
inag is highly skewed (γ1 = 61.65922673) Skewed
isbh is highly skewed (γ1 = 21.57448624) Skewed
irph is highly skewed (γ1 = 26.66088688) Skewed
iaunh is highly skewed (γ1 = 31.22925627) Skewed
Index has unique values Unique
V2A1 has 13745 (71.6%) zeros Zeros
V5 has 4332 (22.6%) zeros Zeros
V6A has 18682 (97.3%) zeros Zeros
V18A has 423 (2.2%) zeros Zeros
V18B has 14550 (75.8%) zeros Zeros
V18C has 785 (4.1%) zeros Zeros
V18D has 17796 (92.7%) zeros Zeros
V18E has 16989 (88.5%) zeros Zeros
V18F has 9127 (47.6%) zeros Zeros
V18G has 16086 (83.8%) zeros Zeros
V18Q has 16004 (83.4%) zeros Zeros
V18i has 8895 (46.3%) zeros Zeros
V18J has 10484 (54.6%) zeros Zeros
V18K has 16308 (85.0%) zeros Zeros
V18L has 2237 (11.7%) zeros Zeros
V18M has 14787 (77.1%) zeros Zeros
V18O has 8261 (43.0%) zeros Zeros
V18P has 17203 (89.6%) zeros Zeros
V18S has 17738 (92.4%) zeros Zeros
V18R has 19130 (99.7%) zeros Zeros
V19 has 2666 (13.9%) zeros Zeros
V19B has 2666 (13.9%) zeros Zeros
V21 has 15514 (80.8%) zeros Zeros
V21A has 15521 (80.9%) zeros Zeros
V21B has 15514 (80.8%) zeros Zeros
A6 has 2106 (11.0%) zeros Zeros
LugNac has 12495 (65.1%) zeros Zeros
A9A has 18001 (93.8%) zeros Zeros
A9B has 18071 (94.2%) zeros Zeros
A11 has 2958 (15.4%) zeros Zeros
A12 has 13164 (68.6%) zeros Zeros
A13 has 13537 (70.5%) zeros Zeros
A15A has 1115 (5.8%) zeros Zeros
Nivinst has 1872 (9.8%) zeros Zeros
Escolari has 1912 (10.0%) zeros Zeros
A16B has 16204 (84.4%) zeros Zeros
A19B has 18913 (98.6%) zeros Zeros
A20A has 15731 (82.0%) zeros Zeros
A23 has 9929 (51.7%) zeros Zeros
CondAct has 3484 (18.2%) zeros Zeros
NumEmpl has 11381 (59.3%) zeros Zeros
Sub40Hor has 18119 (94.4%) zeros Zeros
SubSinHor has 17018 (88.7%) zeros Zeros
D10A has 19051 (99.3%) zeros Zeros
D13A has 18807 (98.0%) zeros Zeros
D13B has 19065 (99.3%) zeros Zeros
D13C has 19127 (99.7%) zeros Zeros
D13C1 has 19130 (99.7%) zeros Zeros
D13D has 19087 (99.5%) zeros Zeros
D13E has 19155 (99.8%) zeros Zeros
D14A has 17896 (93.3%) zeros Zeros
D14B has 17926 (93.4%) zeros Zeros
D14C has 17989 (93.7%) zeros Zeros
D14E has 19029 (99.2%) zeros Zeros
D14F has 19036 (99.2%) zeros Zeros
D15A has 18988 (98.9%) zeros Zeros
D16 has 17686 (92.2%) zeros Zeros
D17 has 19069 (99.4%) zeros Zeros
D17A has 19069 (99.4%) zeros Zeros
E4B has 13436 (70.0%) zeros Zeros
E6E has 19073 (99.4%) zeros Zeros
E6F has 19065 (99.3%) zeros Zeros
E8A has 13321 (69.4%) zeros Zeros
E8B has 13327 (69.4%) zeros Zeros
E9A has 14434 (75.2%) zeros Zeros
E9B has 14596 (76.1%) zeros Zeros
E9C has 14708 (76.6%) zeros Zeros
E9D has 14975 (78.0%) zeros Zeros
E9E has 15954 (83.1%) zeros Zeros
E11B has 19150 (99.8%) zeros Zeros
E12A has 13749 (71.6%) zeros Zeros
E12B has 13749 (71.6%) zeros Zeros
E12C has 19180 (99.9%) zeros Zeros
E13B has 19093 (99.5%) zeros Zeros
E14A has 15129 (78.8%) zeros Zeros
E14A1 has 15270 (79.6%) zeros Zeros
E14A2 has 15270 (79.6%) zeros Zeros
E14B has 18049 (94.0%) zeros Zeros
E14B1 has 18110 (94.4%) zeros Zeros
E14C has 19102 (99.5%) zeros Zeros
E14C1 has 19107 (99.6%) zeros Zeros
E14C2 has 19107 (99.6%) zeros Zeros
E14D has 19175 (99.9%) zeros Zeros
E14D2 has 19175 (99.9%) zeros Zeros
E15A has 19031 (99.2%) zeros Zeros
E15B has 19080 (99.4%) zeros Zeros
E17 has 19043 (99.2%) zeros Zeros
F10 has 19185 (> 99.9%) zeros Zeros
F11A has 19070 (99.4%) zeros Zeros
F11A1 has 19070 (99.4%) zeros Zeros
F11B1 has 19165 (99.9%) zeros Zeros
PosiUltCesa has 18480 (96.3%) zeros Zeros
H2C has 18728 (97.6%) zeros Zeros
H9A has 18831 (98.1%) zeros Zeros
H9A1 has 18835 (98.1%) zeros Zeros
H9A2 has 18835 (98.1%) zeros Zeros
H9B has 19095 (99.5%) zeros Zeros
H9B1 has 19106 (99.6%) zeros Zeros
H9B2 has 19106 (99.6%) zeros Zeros
H9C has 19163 (99.9%) zeros Zeros
H9C1 has 19166 (99.9%) zeros Zeros
H9C2 has 19166 (99.9%) zeros Zeros
H9D has 19034 (99.2%) zeros Zeros
H9D1 has 19040 (99.2%) zeros Zeros
H9D2 has 19040 (99.2%) zeros Zeros
H9E has 18672 (97.3%) zeros Zeros
H9E1 has 18672 (97.3%) zeros Zeros
H9P has 18677 (97.3%) zeros Zeros
H9P1 has 18677 (97.3%) zeros Zeros
H9F has 19140 (99.7%) zeros Zeros
H9F1 has 19141 (99.7%) zeros Zeros
H9F2 has 19141 (99.7%) zeros Zeros
H9G has 18621 (97.0%) zeros Zeros
H9G1 has 18624 (97.0%) zeros Zeros
H9G2 has 18624 (97.0%) zeros Zeros
H9Q has 18747 (97.7%) zeros Zeros
H9Q1 has 18750 (97.7%) zeros Zeros
H9R has 18946 (98.7%) zeros Zeros
H9R1 has 18948 (98.7%) zeros Zeros
H9H has 17472 (91.0%) zeros Zeros
H9H1 has 17507 (91.2%) zeros Zeros
H9S has 17501 (91.2%) zeros Zeros
H9S1 has 17539 (91.4%) zeros Zeros
H9i has 19149 (99.8%) zeros Zeros
H9i1 has 19155 (99.8%) zeros Zeros
H9i2 has 19155 (99.8%) zeros Zeros
H9T has 19174 (99.9%) zeros Zeros
H9T1 has 19178 (99.9%) zeros Zeros
H9K has 19143 (99.7%) zeros Zeros
H9L has 18637 (97.1%) zeros Zeros
H9L1 has 18649 (97.2%) zeros Zeros
H9L2 has 18649 (97.2%) zeros Zeros
H9M has 19113 (99.6%) zeros Zeros
H9M2 has 19114 (99.6%) zeros Zeros
H10A has 18835 (98.1%) zeros Zeros
H10C has 18838 (98.2%) zeros Zeros
H10C1 has 18838 (98.2%) zeros Zeros
M1 has 17270 (90.0%) zeros Zeros
M2A has 11618 (60.5%) zeros Zeros
M2B has 11477 (59.8%) zeros Zeros
M2C has 17389 (90.6%) zeros Zeros
M7E has 17786 (92.7%) zeros Zeros
spif has 19062 (99.3%) zeros Zeros
gpif has 19082 (99.4%) zeros Zeros
dif has 19145 (99.8%) zeros Zeros
gpina has 17695 (92.2%) zeros Zeros
inmpina has 19029 (99.2%) zeros Zeros
gpsfi has 19185 (> 99.9%) zeros Zeros
gpia has 18968 (98.8%) zeros Zeros
inmpia has 19078 (99.4%) zeros Zeros
spmb has 13325 (69.4%) zeros Zeros
spmn has 13325 (69.4%) zeros Zeros
ipsp has 19146 (99.8%) zeros Zeros
sesp has 18049 (94.0%) zeros Zeros
bsp has 19102 (99.5%) zeros Zeros
oisp has 19175 (99.9%) zeros Zeros
spnma has 18684 (97.4%) zeros Zeros
spnmv has 19093 (99.5%) zeros Zeros
spnmt has 19029 (99.2%) zeros Zeros
spnmvh has 19171 (99.9%) zeros Zeros
spnmo has 19162 (99.8%) zeros Zeros
ssif has 19185 (> 99.9%) zeros Zeros
gpsif has 19185 (> 99.9%) zeros Zeros
gsi has 19066 (99.3%) zeros Zeros
inmsi has 19165 (99.9%) zeros Zeros
ssmb has 19103 (99.5%) zeros Zeros
ssmn has 19103 (99.5%) zeros Zeros
ssnm has 19188 (> 99.9%) zeros Zeros
ia has 18831 (98.1%) zeros Zeros
ii has 19095 (99.5%) zeros Zeros
id has 19163 (99.9%) zeros Zeros
ib has 19034 (99.2%) zeros Zeros
trnc has 18672 (97.3%) zeros Zeros
taprnc has 18677 (97.3%) zeros Zeros
ttrnc has 18672 (97.3%) zeros Zeros
timas has 18070 (94.2%) zeros Zeros
ts has 19140 (99.7%) zeros Zeros
tbc has 18904 (98.5%) zeros Zeros
tpa has 18621 (97.0%) zeros Zeros
tapa has 18747 (97.7%) zeros Zeros
tsepa has 18946 (98.7%) zeros Zeros
ttpa has 18621 (97.0%) zeros Zeros
tpn has 17472 (91.0%) zeros Zeros
tapn has 17501 (91.2%) zeros Zeros
ttpn has 17472 (91.0%) zeros Zeros
tpe has 19149 (99.8%) zeros Zeros
tape has 19174 (99.9%) zeros Zeros
ttpe has 19149 (99.8%) zeros Zeros
te has 19143 (99.7%) zeros Zeros
tdp has 18637 (97.1%) zeros Zeros
ot has 19113 (99.6%) zeros Zeros
tnm has 18835 (98.1%) zeros Zeros
ipinm has 18916 (98.6%) zeros Zeros
ipim has 17337 (90.3%) zeros Zeros
ipit has 17332 (90.3%) zeros Zeros
tormsp has 15102 (78.7%) zeros Zeros
tspnm has 18488 (96.3%) zeros Zeros
ipsmb has 13325 (69.4%) zeros Zeros
ipsmn has 13325 (69.4%) zeros Zeros
ipsbt has 13316 (69.4%) zeros Zeros
ipsnt has 13316 (69.4%) zeros Zeros
ipbt has 11457 (59.7%) zeros Zeros
ipnt has 11457 (59.7%) zeros Zeros
isit has 19059 (99.3%) zeros Zeros
issb has 19102 (99.5%) zeros Zeros
issn has 19102 (99.5%) zeros Zeros
isbt has 18970 (98.8%) zeros Zeros
isnt has 18970 (98.8%) zeros Zeros
itrbt has 11454 (59.7%) zeros Zeros
itrnt has 11454 (59.7%) zeros Zeros
irp has 18585 (96.8%) zeros Zeros
ttm has 14515 (75.6%) zeros Zeros
itpb has 7095 (37.0%) zeros Zeros
itpn has 7095 (37.0%) zeros Zeros
sab has 18741 (97.7%) zeros Zeros
san has 18741 (97.7%) zeros Zeros
snab has 13742 (71.6%) zeros Zeros
snan has 13742 (71.6%) zeros Zeros
iag has 18921 (98.6%) zeros Zeros
inag has 17512 (91.3%) zeros Zeros
ipbh has 2689 (14.0%) zeros Zeros
ipnh has 2689 (14.0%) zeros Zeros
isbh has 18466 (96.2%) zeros Zeros
isnh has 18466 (96.2%) zeros Zeros
irph has 17608 (91.8%) zeros Zeros
ttmh has 8848 (46.1%) zeros Zeros
tnmh has 18435 (96.1%) zeros Zeros
itbh has 2684 (14.0%) zeros Zeros
itnh has 2684 (14.0%) zeros Zeros
isanh has 5265 (27.4%) zeros Zeros
iaunh has 13421 (69.9%) zeros Zeros
tsebh has 14224 (74.1%) zeros Zeros
oth has 11734 (61.1%) zeros Zeros
iPM_E1 has 18825 (98.1%) zeros Zeros
iPM_E2 has 18300 (95.4%) zeros Zeros
iPM_E3 has 17328 (90.3%) zeros Zeros
iPM_E4 has 13797 (71.9%) zeros Zeros
iPM_VUi1 has 16680 (86.9%) zeros Zeros
iPM_VUi2 has 17680 (92.1%) zeros Zeros
iPM_VUi3 has 17288 (90.1%) zeros Zeros
iPM_VUi4 has 18167 (94.7%) zeros Zeros
iPM_S1 has 12585 (65.6%) zeros Zeros
iPM_S2 has 18379 (95.8%) zeros Zeros
iPM_S3 has 18828 (98.1%) zeros Zeros
iPM_S4 has 18030 (94.0%) zeros Zeros
iPM_T1 has 18036 (94.0%) zeros Zeros
iPM_T2.1 has 16878 (87.9%) zeros Zeros
iPM_T2.2 has 14046 (73.2%) zeros Zeros
iPM_T3 has 16055 (83.7%) zeros Zeros
iPM_PS1 has 18226 (95.0%) zeros Zeros
iPM_PS2 has 17935 (93.5%) zeros Zeros
iPM_PS3 has 17337 (90.3%) zeros Zeros
iPM_PS4 has 16262 (84.7%) zeros Zeros
iPM_intensidad has 15635 (81.5%) zeros Zeros
iPM_Pobreza has 15635 (81.5%) zeros Zeros

Reproduction

Analysis started2022-08-24 16:14:00.797553
Analysis finished2022-08-24 16:14:04.547917
Duration3.75 seconds
Software versionpandas-profiling v3.2.0
Download configurationconfig.json

Variables

Index
Real number (ℝ≥0)

UNIQUE

Distinct19191
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9615.493721
Minimum1
Maximum19223
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:05.060162image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile960.5
Q14810.5
median9618
Q314423.5
95-th percentile18262.5
Maximum19223
Range19222
Interquartile range (IQR)9613

Descriptive statistics

Standard deviation5549.954832
Coefficient of variation (CV)0.5771887532
Kurtosis-1.200311526
Mean9615.493721
Median Absolute Deviation (MAD)4807
Skewness-0.0008766330428
Sum184530940
Variance30801998.64
MonotonicityStrictly increasing
2022-08-24T10:14:05.278583image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11
 
< 0.1%
128281
 
< 0.1%
128261
 
< 0.1%
128251
 
< 0.1%
128241
 
< 0.1%
128231
 
< 0.1%
128221
 
< 0.1%
128211
 
< 0.1%
128201
 
< 0.1%
128191
 
< 0.1%
Other values (19181)19181
99.9%
ValueCountFrequency (%)
11
< 0.1%
21
< 0.1%
31
< 0.1%
41
< 0.1%
51
< 0.1%
ValueCountFrequency (%)
192231
< 0.1%
192221
< 0.1%
192211
< 0.1%
192201
< 0.1%
192191
< 0.1%

FACTOR
Real number (ℝ≥0)

Distinct144
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean173.6917826
Minimum41
Maximum893
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:05.453101image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum41
5-th percentile129
Q1143
median162
Q3189
95-th percentile260
Maximum893
Range852
Interquartile range (IQR)46

Descriptive statistics

Standard deviation50.10984489
Coefficient of variation (CV)0.2884986505
Kurtosis27.33566369
Mean173.6917826
Median Absolute Deviation (MAD)21
Skewness3.281240191
Sum3333319
Variance2510.996555
MonotonicityNot monotonic
2022-08-24T10:14:05.692654image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1391173
 
6.1%
152834
 
4.3%
145817
 
4.3%
129689
 
3.6%
179561
 
2.9%
113521
 
2.7%
182500
 
2.6%
174495
 
2.6%
198443
 
2.3%
141421
 
2.2%
Other values (134)12737
66.4%
ValueCountFrequency (%)
4123
 
0.1%
4915
 
0.1%
5322
 
0.1%
5632
 
0.2%
113521
2.7%
ValueCountFrequency (%)
89310
0.1%
49612
0.1%
44621
0.1%
4429
< 0.1%
43419
0.1%

UPM
Real number (ℝ≥0)

Distinct700
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean446.6658329
Minimum1
Maximum1106
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:05.867894image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile39
Q1192
median380
Q3623
95-th percentile1078
Maximum1106
Range1105
Interquartile range (IQR)431

Descriptive statistics

Standard deviation317.3254215
Coefficient of variation (CV)0.7104313742
Kurtosis-0.5467996535
Mean446.6658329
Median Absolute Deviation (MAD)217
Skewness0.6927888188
Sum8571964
Variance100695.4231
MonotonicityNot monotonic
2022-08-24T10:14:06.093903image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2571
 
0.4%
19855
 
0.3%
2653
 
0.3%
33653
 
0.3%
12853
 
0.3%
109551
 
0.3%
107850
 
0.3%
106950
 
0.3%
110050
 
0.3%
4050
 
0.3%
Other values (690)18655
97.2%
ValueCountFrequency (%)
128
0.1%
27
 
< 0.1%
317
0.1%
422
0.1%
527
0.1%
ValueCountFrequency (%)
110623
0.1%
110537
0.2%
110427
0.1%
110340
0.2%
110223
0.1%

CUESTiONARiO
Real number (ℝ≥0)

Distinct12
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.491376166
Minimum1
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:06.301171image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median7
Q310
95-th percentile12
Maximum12
Range11
Interquartile range (IQR)7

Descriptive statistics

Standard deviation3.474183224
Coefficient of variation (CV)0.5351997998
Kurtosis-1.235528997
Mean6.491376166
Median Absolute Deviation (MAD)3
Skewness0.002224735819
Sum124576
Variance12.06994908
MonotonicityNot monotonic
2022-08-24T10:14:06.416977image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
101665
8.7%
31655
8.6%
41655
8.6%
81649
8.6%
11644
8.6%
121633
8.5%
21587
8.3%
111570
8.2%
91546
8.1%
71545
8.1%
Other values (2)3042
15.9%
ValueCountFrequency (%)
11644
8.6%
21587
8.3%
31655
8.6%
41655
8.6%
51516
7.9%
ValueCountFrequency (%)
121633
8.5%
111570
8.2%
101665
8.7%
91546
8.1%
81649
8.6%

HOGAR
Real number (ℝ≥0)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.01162003
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:06.546533image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum4
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1225932945
Coefficient of variation (CV)0.1211851197
Kurtosis170.2743785
Mean1.01162003
Median Absolute Deviation (MAD)0
Skewness12.13227709
Sum19414
Variance0.01502911586
MonotonicityNot monotonic
2022-08-24T10:14:06.730243image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
119000
99.0%
2161
 
0.8%
328
 
0.1%
42
 
< 0.1%
ValueCountFrequency (%)
119000
99.0%
2161
 
0.8%
328
 
0.1%
42
 
< 0.1%
ValueCountFrequency (%)
42
 
< 0.1%
328
 
0.1%
2161
 
0.8%
119000
99.0%

LiNEA
Real number (ℝ≥0)

Distinct16
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.44036267
Minimum1
Maximum16
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:06.880001image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile5
Maximum16
Range15
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.467513327
Coefficient of variation (CV)0.6013505064
Kurtosis3.222911142
Mean2.44036267
Median Absolute Deviation (MAD)1
Skewness1.365958909
Sum46833
Variance2.153595366
MonotonicityNot monotonic
2022-08-24T10:14:07.042714image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
16170
32.2%
25304
27.6%
33752
19.6%
42261
 
11.8%
51006
 
5.2%
6410
 
2.1%
7161
 
0.8%
869
 
0.4%
931
 
0.2%
1011
 
0.1%
Other values (6)16
 
0.1%
ValueCountFrequency (%)
16170
32.2%
25304
27.6%
33752
19.6%
42261
 
11.8%
51006
 
5.2%
ValueCountFrequency (%)
161
 
< 0.1%
151
 
< 0.1%
141
 
< 0.1%
132
 
< 0.1%
125
< 0.1%

REGiON
Real number (ℝ≥0)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.792871659
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:07.137460image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.702030557
Coefficient of variation (CV)0.9493320667
Kurtosis1.582386077
Mean1.792871659
Median Absolute Deviation (MAD)0
Skewness1.823374465
Sum34407
Variance2.896908017
MonotonicityNot monotonic
2022-08-24T10:14:07.224228image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
115543
81.0%
62244
 
11.7%
41188
 
6.2%
3216
 
1.1%
ValueCountFrequency (%)
115543
81.0%
3216
 
1.1%
41188
 
6.2%
62244
 
11.7%
ValueCountFrequency (%)
62244
 
11.7%
41188
 
6.2%
3216
 
1.1%
115543
81.0%

ZONA
Real number (ℝ≥0)

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.265801678
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:07.354782image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4417706592
Coefficient of variation (CV)0.3490046402
Kurtosis-0.8756822044
Mean1.265801678
Median Absolute Deviation (MAD)0
Skewness1.060381566
Sum24292
Variance0.1951613153
MonotonicityNot monotonic
2022-08-24T10:14:07.480858image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
114090
73.4%
25101
 
26.6%
ValueCountFrequency (%)
114090
73.4%
25101
 
26.6%
ValueCountFrequency (%)
25101
 
26.6%
114090
73.4%

V1
Real number (ℝ≥0)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.444218644
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:07.599663image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median2
Q33
95-th percentile3
Maximum6
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.584230678
Coefficient of variation (CV)0.2390255386
Kurtosis0.731136674
Mean2.444218644
Median Absolute Deviation (MAD)0
Skewness0.4745576261
Sum46907
Variance0.3413254851
MonotonicityNot monotonic
2022-08-24T10:14:07.723426image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
210402
54.2%
37992
41.6%
4399
 
2.1%
1369
 
1.9%
617
 
0.1%
512
 
0.1%
ValueCountFrequency (%)
1369
 
1.9%
210402
54.2%
37992
41.6%
4399
 
2.1%
512
 
0.1%
ValueCountFrequency (%)
617
 
0.1%
512
 
0.1%
4399
 
2.1%
37992
41.6%
210402
54.2%

V2A
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.750508051
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:07.879093image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.1579625
Coefficient of variation (CV)0.6615008139
Kurtosis1.200766548
Mean1.750508051
Median Absolute Deviation (MAD)0
Skewness1.458580696
Sum33594
Variance1.340877152
MonotonicityNot monotonic
2022-08-24T10:14:08.055490image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
112198
63.6%
33458
 
18.0%
22120
 
11.0%
51122
 
5.8%
4293
 
1.5%
ValueCountFrequency (%)
112198
63.6%
22120
 
11.0%
33458
 
18.0%
4293
 
1.5%
51122
 
5.8%
ValueCountFrequency (%)
51122
 
5.8%
4293
 
1.5%
33458
 
18.0%
22120
 
11.0%
112198
63.6%

V2A1
Real number (ℝ≥0)

ZEROS

Distinct194
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean56015.70976
Minimum0
Maximum2470080
Zeros13745
Zeros (%)71.6%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:08.303831image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q370000
95-th percentile300000
Maximum2470080
Range2470080
Interquartile range (IQR)70000

Descriptive statistics

Standard deviation121362.3386
Coefficient of variation (CV)2.166576825
Kurtosis31.30828252
Mean56015.70976
Median Absolute Deviation (MAD)0
Skewness3.937465971
Sum1074997486
Variance1.472881723 × 1010
MonotonicityNot monotonic
2022-08-24T10:14:08.587079image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
013745
71.6%
200000460
 
2.4%
150000339
 
1.8%
100000322
 
1.7%
120000285
 
1.5%
300000217
 
1.1%
160000181
 
0.9%
180000176
 
0.9%
80000171
 
0.9%
250000164
 
0.9%
Other values (184)3131
 
16.3%
ValueCountFrequency (%)
013745
71.6%
60002
 
< 0.1%
100007
 
< 0.1%
120008
 
< 0.1%
150007
 
< 0.1%
ValueCountFrequency (%)
24700802
< 0.1%
17290561
 
< 0.1%
13000003
< 0.1%
12350402
< 0.1%
11115364
< 0.1%

V3
Real number (ℝ≥0)

Distinct9
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.942837789
Minimum0
Maximum8
Zeros84
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:08.875562image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q33
95-th percentile5
Maximum8
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.487279624
Coefficient of variation (CV)0.7655191972
Kurtosis0.8476386194
Mean1.942837789
Median Absolute Deviation (MAD)0
Skewness1.386275628
Sum37285
Variance2.21200068
MonotonicityNot monotonic
2022-08-24T10:14:09.036860image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
112314
64.2%
42497
 
13.0%
31683
 
8.8%
21372
 
7.1%
6904
 
4.7%
5304
 
1.6%
084
 
0.4%
718
 
0.1%
815
 
0.1%
ValueCountFrequency (%)
084
 
0.4%
112314
64.2%
21372
 
7.1%
31683
 
8.8%
42497
 
13.0%
ValueCountFrequency (%)
815
 
0.1%
718
 
0.1%
6904
 
4.7%
5304
 
1.6%
42497
13.0%

V4
Real number (ℝ≥0)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.03975822
Minimum0
Maximum5
Zeros48
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:09.141829image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum5
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2955871801
Coefficient of variation (CV)0.2842845331
Kurtosis52.8654333
Mean1.03975822
Median Absolute Deviation (MAD)0
Skewness6.872804065
Sum19954
Variance0.08737178104
MonotonicityNot monotonic
2022-08-24T10:14:09.236313image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
118712
97.5%
3310
 
1.6%
289
 
0.5%
048
 
0.3%
426
 
0.1%
56
 
< 0.1%
ValueCountFrequency (%)
048
 
0.3%
118712
97.5%
289
 
0.5%
3310
 
1.6%
426
 
0.1%
ValueCountFrequency (%)
56
 
< 0.1%
426
 
0.1%
3310
 
1.6%
289
 
0.5%
118712
97.5%

V5
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7742691887
Minimum0
Maximum1
Zeros4332
Zeros (%)22.6%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:09.384879image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4180735818
Coefficient of variation (CV)0.5399589548
Kurtosis-0.2781639548
Mean0.7742691887
Median Absolute Deviation (MAD)0
Skewness-1.312198554
Sum14859
Variance0.1747855198
MonotonicityNot monotonic
2022-08-24T10:14:09.511578image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
114859
77.4%
04332
 
22.6%
ValueCountFrequency (%)
04332
 
22.6%
114859
77.4%
ValueCountFrequency (%)
114859
77.4%
04332
 
22.6%

V6
Real number (ℝ≥0)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.238028242
Minimum0
Maximum5
Zeros65
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:09.610278image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum5
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5417766976
Coefficient of variation (CV)0.4376125512
Kurtosis4.538288008
Mean1.238028242
Median Absolute Deviation (MAD)0
Skewness2.172478945
Sum23759
Variance0.29352199
MonotonicityNot monotonic
2022-08-24T10:14:09.746910image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
115468
80.6%
22709
 
14.1%
3933
 
4.9%
065
 
0.3%
510
 
0.1%
46
 
< 0.1%
ValueCountFrequency (%)
065
 
0.3%
115468
80.6%
22709
 
14.1%
3933
 
4.9%
46
 
< 0.1%
ValueCountFrequency (%)
510
 
0.1%
46
 
< 0.1%
3933
 
4.9%
22709
 
14.1%
115468
80.6%

V6A
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02652284925
Minimum0
Maximum1
Zeros18682
Zeros (%)97.3%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:09.880587image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1606883107
Coefficient of variation (CV)6.058485992
Kurtosis32.73942726
Mean0.02652284925
Median Absolute Deviation (MAD)0
Skewness5.893726776
Sum509
Variance0.02582073318
MonotonicityNot monotonic
2022-08-24T10:14:09.969572image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
018682
97.3%
1509
 
2.7%
ValueCountFrequency (%)
018682
97.3%
1509
 
2.7%
ValueCountFrequency (%)
1509
 
2.7%
018682
97.3%

V7A
Real number (ℝ≥0)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.516439998
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:10.062814image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6381383808
Coefficient of variation (CV)0.2535877594
Kurtosis-0.1525320504
Mean2.516439998
Median Absolute Deviation (MAD)0
Skewness-0.9705934462
Sum48293
Variance0.4072205931
MonotonicityNot monotonic
2022-08-24T10:14:10.147906image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
311422
59.5%
26258
32.6%
11511
 
7.9%
ValueCountFrequency (%)
11511
 
7.9%
26258
32.6%
311422
59.5%
ValueCountFrequency (%)
311422
59.5%
26258
32.6%
11511
 
7.9%

V7B
Real number (ℝ≥0)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.475379084
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:10.294363image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6831599256
Coefficient of variation (CV)0.2759819415
Kurtosis-0.3609636024
Mean2.475379084
Median Absolute Deviation (MAD)0
Skewness-0.9335536221
Sum47505
Variance0.466707484
MonotonicityNot monotonic
2022-08-24T10:14:10.407283image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
311208
58.4%
25898
30.7%
12085
 
10.9%
ValueCountFrequency (%)
12085
 
10.9%
25898
30.7%
311208
58.4%
ValueCountFrequency (%)
311208
58.4%
25898
30.7%
12085
 
10.9%

V7C
Real number (ℝ≥0)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.577249752
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:10.503869image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6206128878
Coefficient of variation (CV)0.2408043253
Kurtosis0.2943425717
Mean2.577249752
Median Absolute Deviation (MAD)0
Skewness-1.180202793
Sum49460
Variance0.3851603565
MonotonicityNot monotonic
2022-08-24T10:14:10.597718image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
312432
64.8%
25405
28.2%
11354
 
7.1%
ValueCountFrequency (%)
11354
 
7.1%
25405
28.2%
312432
64.8%
ValueCountFrequency (%)
312432
64.8%
25405
28.2%
11354
 
7.1%

EFi
Real number (ℝ≥0)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.524881455
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:10.697447image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6212272941
Coefficient of variation (CV)0.2460421629
Kurtosis-0.1458519419
Mean2.524881455
Median Absolute Deviation (MAD)0
Skewness-0.9485850498
Sum48455
Variance0.385923351
MonotonicityNot monotonic
2022-08-24T10:14:10.801191image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
311383
59.3%
26498
33.9%
11310
 
6.8%
ValueCountFrequency (%)
11310
 
6.8%
26498
33.9%
311383
59.3%
ValueCountFrequency (%)
311383
59.3%
26498
33.9%
11310
 
6.8%

CalViv
Real number (ℝ≥0)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.413944036
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:10.953884image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q34
95-th percentile4
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8324962173
Coefficient of variation (CV)0.243851747
Kurtosis2.167553519
Mean3.413944036
Median Absolute Deviation (MAD)0
Skewness-1.609387718
Sum65517
Variance0.6930499518
MonotonicityNot monotonic
2022-08-24T10:14:11.032495image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
410952
57.1%
36545
34.1%
11314
 
6.8%
2380
 
2.0%
ValueCountFrequency (%)
11314
 
6.8%
2380
 
2.0%
36545
34.1%
410952
57.1%
ValueCountFrequency (%)
410952
57.1%
36545
34.1%
2380
 
2.0%
11314
 
6.8%

V8
Real number (ℝ≥0)

Distinct10
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.819238185
Minimum0
Maximum10
Zeros34
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:11.124185image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q12
median3
Q33
95-th percentile4
Maximum10
Range10
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9530931314
Coefficient of variation (CV)0.3380676158
Kurtosis2.951229584
Mean2.819238185
Median Absolute Deviation (MAD)1
Skewness0.847037531
Sum54104
Variance0.9083865171
MonotonicityNot monotonic
2022-08-24T10:14:11.214411image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
38355
43.5%
26328
33.0%
42766
 
14.4%
1879
 
4.6%
5648
 
3.4%
699
 
0.5%
770
 
0.4%
034
 
0.2%
1010
 
0.1%
82
 
< 0.1%
ValueCountFrequency (%)
034
 
0.2%
1879
 
4.6%
26328
33.0%
38355
43.5%
42766
 
14.4%
ValueCountFrequency (%)
1010
 
0.1%
82
 
< 0.1%
770
 
0.4%
699
 
0.5%
5648
3.4%

HacDor
Real number (ℝ≥0)

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.978218957
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:11.304532image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1459717084
Coefficient of variation (CV)0.07378945991
Kurtosis40.94472882
Mean1.978218957
Median Absolute Deviation (MAD)0
Skewness-6.552897203
Sum37964
Variance0.02130773965
MonotonicityNot monotonic
2022-08-24T10:14:11.391458image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
218773
97.8%
1418
 
2.2%
ValueCountFrequency (%)
1418
 
2.2%
218773
97.8%
ValueCountFrequency (%)
218773
97.8%
1418
 
2.2%

V9
Real number (ℝ≥0)

Distinct14
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.056380595
Minimum1
Maximum14
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:11.481265image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q14
median5
Q36
95-th percentile7
Maximum14
Range13
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.426010812
Coefficient of variation (CV)0.2820220483
Kurtosis2.833051719
Mean5.056380595
Median Absolute Deviation (MAD)1
Skewness0.8034328596
Sum97037
Variance2.033506837
MonotonicityNot monotonic
2022-08-24T10:14:11.580021image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
56630
34.5%
44596
23.9%
63659
19.1%
31516
 
7.9%
71443
 
7.5%
8603
 
3.1%
2292
 
1.5%
9150
 
0.8%
1116
 
0.6%
1094
 
0.5%
Other values (4)92
 
0.5%
ValueCountFrequency (%)
1116
 
0.6%
2292
 
1.5%
31516
 
7.9%
44596
23.9%
56630
34.5%
ValueCountFrequency (%)
143
 
< 0.1%
1320
 
0.1%
1225
 
0.1%
1144
0.2%
1094
0.5%

HacApo
Real number (ℝ≥0)

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.985878797
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:11.678879image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1179937276
Coefficient of variation (CV)0.05941637917
Kurtosis65.84728877
Mean1.985878797
Median Absolute Deviation (MAD)0
Skewness-8.236530002
Sum38111
Variance0.01392251975
MonotonicityNot monotonic
2022-08-24T10:14:11.773458image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
218920
98.6%
1271
 
1.4%
ValueCountFrequency (%)
1271
 
1.4%
218920
98.6%
ValueCountFrequency (%)
218920
98.6%
1271
 
1.4%

V11
Real number (ℝ≥0)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.014381741
Minimum0
Maximum3
Zeros26
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:12.004146image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum3
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1315381088
Coefficient of variation (CV)0.1296731826
Kurtosis60.9296587
Mean1.014381741
Median Absolute Deviation (MAD)0
Skewness6.540337116
Sum19467
Variance0.01730227407
MonotonicityNot monotonic
2022-08-24T10:14:12.082936image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
118867
98.3%
2294
 
1.5%
026
 
0.1%
34
 
< 0.1%
ValueCountFrequency (%)
026
 
0.1%
118867
98.3%
2294
 
1.5%
34
 
< 0.1%
ValueCountFrequency (%)
34
 
< 0.1%
2294
 
1.5%
118867
98.3%
026
 
0.1%

V12
Real number (ℝ≥0)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.775311344
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:12.173693image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile4
Maximum7
Range6
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.073416099
Coefficient of variation (CV)0.6046354082
Kurtosis3.535530365
Mean1.775311344
Median Absolute Deviation (MAD)0
Skewness1.732264019
Sum34070
Variance1.152222122
MonotonicityNot monotonic
2022-08-24T10:14:12.250487image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
110422
54.3%
24571
23.8%
33235
 
16.9%
4426
 
2.2%
6410
 
2.1%
5126
 
0.7%
71
 
< 0.1%
ValueCountFrequency (%)
110422
54.3%
24571
23.8%
33235
 
16.9%
4426
 
2.2%
5126
 
0.7%
ValueCountFrequency (%)
71
 
< 0.1%
6410
 
2.1%
5126
 
0.7%
4426
 
2.2%
33235
16.9%

V13A
Real number (ℝ≥0)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.037621802
Minimum0
Maximum5
Zeros28
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:12.334161image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum5
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3479139846
Coefficient of variation (CV)0.3352994163
Kurtosis74.82286653
Mean1.037621802
Median Absolute Deviation (MAD)0
Skewness8.616664497
Sum19913
Variance0.1210441406
MonotonicityNot monotonic
2022-08-24T10:14:12.425151image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
118919
98.6%
4226
 
1.2%
028
 
0.1%
518
 
0.1%
ValueCountFrequency (%)
028
 
0.1%
118919
98.6%
4226
 
1.2%
518
 
0.1%
ValueCountFrequency (%)
518
 
0.1%
4226
 
1.2%
118919
98.6%
028
 
0.1%

V13B
Real number (ℝ≥0)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.003595435
Minimum0
Maximum2
Zeros28
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:12.515908image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum2
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.0806280438
Coefficient of variation (CV)0.08033918943
Kurtosis149.9668843
Mean1.003595435
Median Absolute Deviation (MAD)0
Skewness6.726701566
Sum19260
Variance0.006500881447
MonotonicityNot monotonic
2022-08-24T10:14:12.608660image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
119066
99.3%
297
 
0.5%
028
 
0.1%
ValueCountFrequency (%)
028
 
0.1%
119066
99.3%
297
 
0.5%
ValueCountFrequency (%)
297
 
0.5%
119066
99.3%
028
 
0.1%

V14A
Real number (ℝ≥0)

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9955187327
Minimum0
Maximum1
Zeros86
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:12.714377image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.06679384686
Coefficient of variation (CV)0.06709451532
Kurtosis218.2128256
Mean0.9955187327
Median Absolute Deviation (MAD)0
Skewness-14.83880334
Sum19105
Variance0.004461417979
MonotonicityNot monotonic
2022-08-24T10:14:12.808131image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
119105
99.6%
086
 
0.4%
ValueCountFrequency (%)
086
 
0.4%
119105
99.6%
ValueCountFrequency (%)
119105
99.6%
086
 
0.4%

V14A1
Real number (ℝ≥0)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.322911782
Minimum0
Maximum6
Zeros89
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:12.907638image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum6
Range6
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6152447409
Coefficient of variation (CV)0.4650686081
Kurtosis6.224231253
Mean1.322911782
Median Absolute Deviation (MAD)0
Skewness2.120568331
Sum25388
Variance0.3785260912
MonotonicityNot monotonic
2022-08-24T10:14:13.000086image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
113952
72.7%
24260
 
22.2%
3697
 
3.6%
4150
 
0.8%
089
 
0.5%
533
 
0.2%
610
 
0.1%
ValueCountFrequency (%)
089
 
0.5%
113952
72.7%
24260
 
22.2%
3697
 
3.6%
4150
 
0.8%
ValueCountFrequency (%)
610
 
0.1%
533
 
0.2%
4150
 
0.8%
3697
 
3.6%
24260
22.2%

V14B
Real number (ℝ≥0)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.999791569
Minimum0
Maximum2
Zeros86
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:13.099818image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum2
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.09356557177
Coefficient of variation (CV)0.09358507781
Kurtosis111.260337
Mean0.999791569
Median Absolute Deviation (MAD)0
Skewness-0.2478129916
Sum19187
Variance0.008754516221
MonotonicityNot monotonic
2022-08-24T10:14:13.193321image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
119023
99.1%
086
 
0.4%
282
 
0.4%
ValueCountFrequency (%)
086
 
0.4%
119023
99.1%
282
 
0.4%
ValueCountFrequency (%)
282
 
0.4%
119023
99.1%
086
 
0.4%

V15
Real number (ℝ≥0)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.925016935
Minimum0
Maximum6
Zeros34
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:13.301032image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median2
Q32
95-th percentile4
Maximum6
Range6
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9988815885
Coefficient of variation (CV)0.5188949615
Kurtosis-0.1561469585
Mean1.925016935
Median Absolute Deviation (MAD)1
Skewness0.8914709279
Sum36943
Variance0.9977644278
MonotonicityNot monotonic
2022-08-24T10:14:13.391790image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
17897
41.1%
27046
36.7%
42276
 
11.9%
31926
 
10.0%
034
 
0.2%
612
 
0.1%
ValueCountFrequency (%)
034
 
0.2%
17897
41.1%
27046
36.7%
31926
 
10.0%
42276
 
11.9%
ValueCountFrequency (%)
612
 
0.1%
42276
 
11.9%
31926
 
10.0%
27046
36.7%
17897
41.1%

V16
Real number (ℝ≥0)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.52639258
Minimum0
Maximum3
Zeros32
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:13.491525image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum3
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5765245172
Coefficient of variation (CV)0.3777039569
Kurtosis-0.6575246858
Mean1.52639258
Median Absolute Deviation (MAD)0
Skewness0.495047765
Sum29293
Variance0.3323805189
MonotonicityNot monotonic
2022-08-24T10:14:13.594531image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
19790
51.0%
28604
44.8%
3765
 
4.0%
032
 
0.2%
ValueCountFrequency (%)
032
 
0.2%
19790
51.0%
28604
44.8%
3765
 
4.0%
ValueCountFrequency (%)
3765
 
4.0%
28604
44.8%
19790
51.0%
032
 
0.2%

V17A
Real number (ℝ≥0)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.143296337
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:13.688960image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile3
Maximum6
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5319365485
Coefficient of variation (CV)0.4652656808
Kurtosis21.48803413
Mean1.143296337
Median Absolute Deviation (MAD)0
Skewness4.244087046
Sum21941
Variance0.2829564916
MonotonicityNot monotonic
2022-08-24T10:14:13.789397image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
117699
92.2%
31037
 
5.4%
2387
 
2.0%
641
 
0.2%
424
 
0.1%
53
 
< 0.1%
ValueCountFrequency (%)
117699
92.2%
2387
 
2.0%
31037
 
5.4%
424
 
0.1%
53
 
< 0.1%
ValueCountFrequency (%)
641
 
0.2%
53
 
< 0.1%
424
 
0.1%
31037
5.4%
2387
 
2.0%

SerBa
Real number (ℝ≥0)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.93767912
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:13.893120image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q33
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2663579294
Coefficient of variation (CV)0.09066951101
Kurtosis22.17499715
Mean2.93767912
Median Absolute Deviation (MAD)0
Skewness-4.569267756
Sum56377
Variance0.07094654654
MonotonicityNot monotonic
2022-08-24T10:14:13.988148image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
318115
94.4%
2956
 
5.0%
1120
 
0.6%
ValueCountFrequency (%)
1120
 
0.6%
2956
 
5.0%
318115
94.4%
ValueCountFrequency (%)
318115
94.4%
2956
 
5.0%
1120
 
0.6%

V18A
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.977958418
Minimum0
Maximum1
Zeros423
Zeros (%)2.2%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:14.089874image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1468225934
Coefficient of variation (CV)0.1501317343
Kurtosis40.40217088
Mean0.977958418
Median Absolute Deviation (MAD)0
Skewness-6.511371619
Sum18768
Variance0.02155687394
MonotonicityNot monotonic
2022-08-24T10:14:14.189605image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
118768
97.8%
0423
 
2.2%
ValueCountFrequency (%)
0423
 
2.2%
118768
97.8%
ValueCountFrequency (%)
118768
97.8%
0423
 
2.2%

V18B
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2418321088
Minimum0
Maximum1
Zeros14550
Zeros (%)75.8%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:14.288865image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4282042671
Coefficient of variation (CV)1.770667548
Kurtosis-0.545760285
Mean0.2418321088
Median Absolute Deviation (MAD)0
Skewness1.205942205
Sum4641
Variance0.1833588944
MonotonicityNot monotonic
2022-08-24T10:14:14.381614image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
014550
75.8%
14641
 
24.2%
ValueCountFrequency (%)
014550
75.8%
14641
 
24.2%
ValueCountFrequency (%)
14641
 
24.2%
014550
75.8%

V18C
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9590954093
Minimum0
Maximum1
Zeros785
Zeros (%)4.1%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:14.476361image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1980743535
Coefficient of variation (CV)0.2065220536
Kurtosis19.4951744
Mean0.9590954093
Median Absolute Deviation (MAD)0
Skewness-4.636069749
Sum18406
Variance0.03923344952
MonotonicityNot monotonic
2022-08-24T10:14:14.580598image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
118406
95.9%
0785
 
4.1%
ValueCountFrequency (%)
0785
 
4.1%
118406
95.9%
ValueCountFrequency (%)
118406
95.9%
0785
 
4.1%

V18D
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.07269032359
Minimum0
Maximum1
Zeros17796
Zeros (%)92.7%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:14.666475image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2596342678
Coefficient of variation (CV)3.571785831
Kurtosis8.837992751
Mean0.07269032359
Median Absolute Deviation (MAD)0
Skewness3.291970794
Sum1395
Variance0.06740995303
MonotonicityNot monotonic
2022-08-24T10:14:14.782201image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
017796
92.7%
11395
 
7.3%
ValueCountFrequency (%)
017796
92.7%
11395
 
7.3%
ValueCountFrequency (%)
11395
 
7.3%
017796
92.7%

V18E
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.114741285
Minimum0
Maximum1
Zeros16989
Zeros (%)88.5%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:14.867971image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.318717768
Coefficient of variation (CV)2.77770785
Kurtosis3.846186773
Mean0.114741285
Median Absolute Deviation (MAD)0
Skewness2.41780602
Sum2202
Variance0.1015810157
MonotonicityNot monotonic
2022-08-24T10:14:14.958734image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
016989
88.5%
12202
 
11.5%
ValueCountFrequency (%)
016989
88.5%
12202
 
11.5%
ValueCountFrequency (%)
12202
 
11.5%
016989
88.5%

V18F
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.524412485
Minimum0
Maximum1
Zeros9127
Zeros (%)47.6%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:15.052541image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4994166869
Coefficient of variation (CV)0.9523356159
Kurtosis-1.990647676
Mean0.524412485
Median Absolute Deviation (MAD)0
Skewness-0.0977741837
Sum10064
Variance0.2494170271
MonotonicityNot monotonic
2022-08-24T10:14:15.135325image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
110064
52.4%
09127
47.6%
ValueCountFrequency (%)
09127
47.6%
110064
52.4%
ValueCountFrequency (%)
110064
52.4%
09127
47.6%

V18G
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1617945912
Minimum0
Maximum1
Zeros16086
Zeros (%)83.8%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:15.220098image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3682718677
Coefficient of variation (CV)2.276169215
Kurtosis1.374372001
Mean0.1617945912
Median Absolute Deviation (MAD)0
Skewness1.836907396
Sum3105
Variance0.1356241685
MonotonicityNot monotonic
2022-08-24T10:14:15.306872image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
016086
83.8%
13105
 
16.2%
ValueCountFrequency (%)
016086
83.8%
13105
 
16.2%
ValueCountFrequency (%)
13105
 
16.2%
016086
83.8%

V18Q
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1660674274
Minimum0
Maximum1
Zeros16004
Zeros (%)83.4%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:15.586120image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3721508481
Coefficient of variation (CV)2.240962324
Kurtosis1.221419005
Mean0.1660674274
Median Absolute Deviation (MAD)0
Skewness1.794795733
Sum3187
Variance0.1384962537
MonotonicityNot monotonic
2022-08-24T10:14:15.675131image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
016004
83.4%
13187
 
16.6%
ValueCountFrequency (%)
016004
83.4%
13187
 
16.6%
ValueCountFrequency (%)
13187
 
16.6%
016004
83.4%

V18i
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5365014851
Minimum0
Maximum1
Zeros8895
Zeros (%)46.3%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:15.789065image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4986788544
Coefficient of variation (CV)0.9295013494
Kurtosis-1.978770924
Mean0.5365014851
Median Absolute Deviation (MAD)0
Skewness-0.1464080106
Sum10296
Variance0.2486805998
MonotonicityNot monotonic
2022-08-24T10:14:15.873880image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
110296
53.7%
08895
46.3%
ValueCountFrequency (%)
08895
46.3%
110296
53.7%
ValueCountFrequency (%)
110296
53.7%
08895
46.3%

V18J
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4537022563
Minimum0
Maximum1
Zeros10484
Zeros (%)54.6%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:15.965635image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4978648761
Coefficient of variation (CV)1.09733833
Kurtosis-1.96560716
Mean0.4537022563
Median Absolute Deviation (MAD)0
Skewness0.1860045623
Sum8707
Variance0.2478694348
MonotonicityNot monotonic
2022-08-24T10:14:16.049408image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
010484
54.6%
18707
45.4%
ValueCountFrequency (%)
010484
54.6%
18707
45.4%
ValueCountFrequency (%)
18707
45.4%
010484
54.6%

V18K
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1502266688
Minimum0
Maximum1
Zeros16308
Zeros (%)85.0%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:16.135187image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3573027695
Coefficient of variation (CV)2.378424367
Kurtosis1.834182572
Mean0.1502266688
Median Absolute Deviation (MAD)0
Skewness1.958058077
Sum2883
Variance0.1276652691
MonotonicityNot monotonic
2022-08-24T10:14:16.223943image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
016308
85.0%
12883
 
15.0%
ValueCountFrequency (%)
016308
85.0%
12883
 
15.0%
ValueCountFrequency (%)
12883
 
15.0%
016308
85.0%

V18L
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8834349435
Minimum0
Maximum1
Zeros2237
Zeros (%)11.7%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:16.318796image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3209096607
Coefficient of variation (CV)0.3632521705
Kurtosis3.712125289
Mean0.8834349435
Median Absolute Deviation (MAD)0
Skewness-2.389924358
Sum16954
Variance0.1029830103
MonotonicityNot monotonic
2022-08-24T10:14:16.406455image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
116954
88.3%
02237
 
11.7%
ValueCountFrequency (%)
02237
 
11.7%
116954
88.3%
ValueCountFrequency (%)
116954
88.3%
02237
 
11.7%

V18M
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.22948257
Minimum0
Maximum1
Zeros14787
Zeros (%)77.1%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:16.494220image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4205110394
Coefficient of variation (CV)1.83243128
Kurtosis-0.3443184694
Mean0.22948257
Median Absolute Deviation (MAD)0
Skewness1.286746838
Sum4404
Variance0.1768295342
MonotonicityNot monotonic
2022-08-24T10:14:16.579990image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
014787
77.1%
14404
 
22.9%
ValueCountFrequency (%)
014787
77.1%
14404
 
22.9%
ValueCountFrequency (%)
14404
 
22.9%
014787
77.1%

V18O
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5695378042
Minimum0
Maximum1
Zeros8261
Zeros (%)43.0%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:16.670750image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4951537836
Coefficient of variation (CV)0.8693958153
Kurtosis-1.921293834
Mean0.5695378042
Median Absolute Deviation (MAD)0
Skewness-0.2809028393
Sum10930
Variance0.2451772694
MonotonicityNot monotonic
2022-08-24T10:14:16.760748image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
110930
57.0%
08261
43.0%
ValueCountFrequency (%)
08261
43.0%
110930
57.0%
ValueCountFrequency (%)
110930
57.0%
08261
43.0%

V18P
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1035902246
Minimum0
Maximum1
Zeros17203
Zeros (%)89.6%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:16.866131image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3047361628
Coefficient of variation (CV)2.941746328
Kurtosis4.770537212
Mean0.1035902246
Median Absolute Deviation (MAD)0
Skewness2.601930064
Sum1988
Variance0.0928641289
MonotonicityNot monotonic
2022-08-24T10:14:16.950897image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
017203
89.6%
11988
 
10.4%
ValueCountFrequency (%)
017203
89.6%
11988
 
10.4%
ValueCountFrequency (%)
11988
 
10.4%
017203
89.6%

V18S
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0757125736
Minimum0
Maximum1
Zeros17738
Zeros (%)92.4%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:17.051913image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2645445643
Coefficient of variation (CV)3.494063822
Kurtosis8.292233291
Mean0.0757125736
Median Absolute Deviation (MAD)0
Skewness3.208016384
Sum1453
Variance0.0699838265
MonotonicityNot monotonic
2022-08-24T10:14:17.138685image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
017738
92.4%
11453
 
7.6%
ValueCountFrequency (%)
017738
92.4%
11453
 
7.6%
ValueCountFrequency (%)
11453
 
7.6%
017738
92.4%

V18R
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.00317857329
Minimum0
Maximum1
Zeros19130
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:17.225451image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05629063041
Coefficient of variation (CV)17.70940145
Kurtosis309.6907393
Mean0.00317857329
Median Absolute Deviation (MAD)0
Skewness17.65385127
Sum61
Variance0.003168635072
MonotonicityNot monotonic
2022-08-24T10:14:17.314971image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
019130
99.7%
161
 
0.3%
ValueCountFrequency (%)
019130
99.7%
161
 
0.3%
ValueCountFrequency (%)
161
 
0.3%
019130
99.7%

V19
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8610807149
Minimum0
Maximum1
Zeros2666
Zeros (%)13.9%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:17.409876image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3458712923
Coefficient of variation (CV)0.4016711631
Kurtosis2.360683557
Mean0.8610807149
Median Absolute Deviation (MAD)0
Skewness-2.088166073
Sum16525
Variance0.1196269508
MonotonicityNot monotonic
2022-08-24T10:14:17.499518image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
116525
86.1%
02666
 
13.9%
ValueCountFrequency (%)
02666
 
13.9%
116525
86.1%
ValueCountFrequency (%)
116525
86.1%
02666
 
13.9%

V19B
Real number (ℝ≥0)

ZEROS

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.284768902
Minimum0
Maximum5
Zeros2666
Zeros (%)13.9%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:17.590239image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median2
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.430348095
Coefficient of variation (CV)0.6260362234
Kurtosis-0.1266100575
Mean2.284768902
Median Absolute Deviation (MAD)1
Skewness0.4181092321
Sum43847
Variance2.045895672
MonotonicityNot monotonic
2022-08-24T10:14:17.679037image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
29044
47.1%
33465
 
18.1%
52831
 
14.8%
02666
 
13.9%
11177
 
6.1%
48
 
< 0.1%
ValueCountFrequency (%)
02666
 
13.9%
11177
 
6.1%
29044
47.1%
33465
 
18.1%
48
 
< 0.1%
ValueCountFrequency (%)
52831
 
14.8%
48
 
< 0.1%
33465
 
18.1%
29044
47.1%
11177
 
6.1%

V21
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1916002293
Minimum0
Maximum1
Zeros15514
Zeros (%)80.8%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:17.773782image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3935703911
Coefficient of variation (CV)2.054122757
Kurtosis0.4566437615
Mean0.1916002293
Median Absolute Deviation (MAD)0
Skewness1.567353241
Sum3677
Variance0.1548976528
MonotonicityNot monotonic
2022-08-24T10:14:17.871536image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
015514
80.8%
13677
 
19.2%
ValueCountFrequency (%)
015514
80.8%
13677
 
19.2%
ValueCountFrequency (%)
13677
 
19.2%
015514
80.8%

V21A
Real number (ℝ≥0)

ZEROS

Distinct35
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean383.0272003
Minimum0
Maximum2020
Zeros15521
Zeros (%)80.9%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:17.994195image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2010
Maximum2020
Range2020
Interquartile range (IQR)0

Descriptive statistics

Standard deviation787.7223443
Coefficient of variation (CV)2.056570248
Kurtosis0.4665033995
Mean383.0272003
Median Absolute Deviation (MAD)0
Skewness1.570443717
Sum7350675
Variance620506.4917
MonotonicityNot monotonic
2022-08-24T10:14:18.122851image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
015521
80.9%
2000264
 
1.4%
1990184
 
1.0%
2011177
 
0.9%
2010169
 
0.9%
2006161
 
0.8%
1995157
 
0.8%
2004150
 
0.8%
2005147
 
0.8%
2001138
 
0.7%
Other values (25)2123
 
11.1%
ValueCountFrequency (%)
015521
80.9%
1987113
 
0.6%
198850
 
0.3%
198963
 
0.3%
1990184
 
1.0%
ValueCountFrequency (%)
202072
0.4%
201954
0.3%
201891
0.5%
201764
0.3%
201663
0.3%

V21B
Real number (ℝ≥0)

ZEROS

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6419154812
Minimum0
Maximum5
Zeros15514
Zeros (%)80.8%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:18.244523image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4
Maximum5
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.415635963
Coefficient of variation (CV)2.20533077
Kurtosis2.092631448
Mean0.6419154812
Median Absolute Deviation (MAD)0
Skewness1.945190896
Sum12319
Variance2.004025179
MonotonicityNot monotonic
2022-08-24T10:14:18.341265image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
015514
80.8%
42136
 
11.1%
2776
 
4.0%
1347
 
1.8%
5311
 
1.6%
3107
 
0.6%
ValueCountFrequency (%)
015514
80.8%
1347
 
1.8%
2776
 
4.0%
3107
 
0.6%
42136
 
11.1%
ValueCountFrequency (%)
5311
 
1.6%
42136
11.1%
3107
 
0.6%
2776
 
4.0%
1347
 
1.8%

TamViv
Real number (ℝ≥0)

Distinct16
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.956177375
Minimum1
Maximum17
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:18.442162image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q35
95-th percentile7
Maximum17
Range16
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.819845225
Coefficient of variation (CV)0.4600009182
Kurtosis5.521561174
Mean3.956177375
Median Absolute Deviation (MAD)1
Skewness1.469908012
Sum75923
Variance3.311836643
MonotonicityNot monotonic
2022-08-24T10:14:18.540899image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
45001
26.1%
34363
22.7%
23034
15.8%
53028
15.8%
61519
 
7.9%
1827
 
4.3%
7678
 
3.5%
8336
 
1.8%
9207
 
1.1%
1080
 
0.4%
Other values (6)118
 
0.6%
ValueCountFrequency (%)
1827
 
4.3%
23034
15.8%
34363
22.7%
45001
26.1%
53028
15.8%
ValueCountFrequency (%)
1717
0.1%
1616
0.1%
1414
 
0.1%
1313
 
0.1%
1236
0.2%

A4
Real number (ℝ≥0)

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.521129696
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:18.646616image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4995663522
Coefficient of variation (CV)0.3284179866
Kurtosis-1.993050394
Mean1.521129696
Median Absolute Deviation (MAD)0
Skewness-0.08460096797
Sum29192
Variance0.2495665403
MonotonicityNot monotonic
2022-08-24T10:14:18.738372image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
210001
52.1%
19190
47.9%
ValueCountFrequency (%)
19190
47.9%
210001
52.1%
ValueCountFrequency (%)
210001
52.1%
19190
47.9%

A5
Real number (ℝ≥0)

Distinct98
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.44395811
Minimum0
Maximum97
Zeros110
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:18.864034image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q119
median36
Q355
95-th percentile75
Maximum97
Range97
Interquartile range (IQR)36

Descriptive statistics

Standard deviation22.17457322
Coefficient of variation (CV)0.5922069766
Kurtosis-0.8453371505
Mean37.44395811
Median Absolute Deviation (MAD)18
Skewness0.2749588152
Sum718587
Variance491.7116976
MonotonicityNot monotonic
2022-08-24T10:14:19.009644image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
22332
 
1.7%
21329
 
1.7%
18318
 
1.7%
35315
 
1.6%
27310
 
1.6%
13303
 
1.6%
23303
 
1.6%
20303
 
1.6%
30302
 
1.6%
25302
 
1.6%
Other values (88)16074
83.8%
ValueCountFrequency (%)
0110
0.6%
1177
0.9%
2172
0.9%
3222
1.2%
4231
1.2%
ValueCountFrequency (%)
9712
0.1%
969
< 0.1%
958
< 0.1%
9410
0.1%
9313
0.1%

A6
Real number (ℝ≥0)

ZEROS

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.429941118
Minimum0
Maximum6
Zeros2106
Zeros (%)11.0%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:19.127331image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q36
95-th percentile6
Maximum6
Range6
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.245388486
Coefficient of variation (CV)0.6546434498
Kurtosis-1.570403971
Mean3.429941118
Median Absolute Deviation (MAD)2
Skewness-0.02706265161
Sum65824
Variance5.041769455
MonotonicityNot monotonic
2022-08-24T10:14:19.219086image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
67074
36.9%
25332
27.8%
02106
 
11.0%
12002
 
10.4%
41027
 
5.4%
5828
 
4.3%
3822
 
4.3%
ValueCountFrequency (%)
02106
 
11.0%
12002
 
10.4%
25332
27.8%
3822
 
4.3%
41027
 
5.4%
ValueCountFrequency (%)
67074
36.9%
5828
 
4.3%
41027
 
5.4%
3822
 
4.3%
25332
27.8%

LugNac
Real number (ℝ≥0)

ZEROS

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4662081184
Minimum0
Maximum4
Zeros12495
Zeros (%)65.1%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:19.322802image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum4
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7524092263
Coefficient of variation (CV)1.6138913
Kurtosis4.865757105
Mean0.4662081184
Median Absolute Deviation (MAD)0
Skewness1.979634264
Sum8947
Variance0.5661196438
MonotonicityNot monotonic
2022-08-24T10:14:19.414561image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
012495
65.1%
15013
26.1%
21340
 
7.0%
4225
 
1.2%
3118
 
0.6%
ValueCountFrequency (%)
012495
65.1%
15013
26.1%
21340
 
7.0%
3118
 
0.6%
4225
 
1.2%
ValueCountFrequency (%)
4225
 
1.2%
3118
 
0.6%
21340
 
7.0%
15013
26.1%
012495
65.1%

A9A
Real number (ℝ≥0)

ZEROS

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1395966859
Minimum0
Maximum5
Zeros18001
Zeros (%)93.8%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:19.514294image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum5
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.649328048
Coefficient of variation (CV)4.651457473
Kurtosis29.42148673
Mean0.1395966859
Median Absolute Deviation (MAD)0
Skewness5.383093683
Sum2679
Variance0.4216269139
MonotonicityNot monotonic
2022-08-24T10:14:19.875704image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
018001
93.8%
1604
 
3.1%
4375
 
2.0%
2142
 
0.7%
542
 
0.2%
327
 
0.1%
ValueCountFrequency (%)
018001
93.8%
1604
 
3.1%
2142
 
0.7%
327
 
0.1%
4375
 
2.0%
ValueCountFrequency (%)
542
 
0.2%
4375
2.0%
327
 
0.1%
2142
 
0.7%
1604
3.1%

A9B
Real number (ℝ≥0)

ZEROS

Distinct28
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1756.839143
Minimum0
Maximum130000
Zeros18071
Zeros (%)94.2%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:19.982409image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile18000
Maximum130000
Range130000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation7929.215705
Coefficient of variation (CV)4.513341893
Kurtosis39.52469885
Mean1756.839143
Median Absolute Deviation (MAD)0
Skewness5.657574247
Sum33715500
Variance62872461.69
MonotonicityNot monotonic
2022-08-24T10:14:20.101092image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
018071
94.2%
18000445
 
2.3%
30000387
 
2.0%
40000117
 
0.6%
6000038
 
0.2%
5000037
 
0.2%
7500035
 
0.2%
3500011
 
0.1%
200009
 
< 0.1%
310006
 
< 0.1%
Other values (18)35
 
0.2%
ValueCountFrequency (%)
018071
94.2%
170002
 
< 0.1%
18000445
 
2.3%
200009
 
< 0.1%
225001
 
< 0.1%
ValueCountFrequency (%)
1300001
 
< 0.1%
1100001
 
< 0.1%
1000004
< 0.1%
810001
 
< 0.1%
780001
 
< 0.1%

A11
Real number (ℝ≥0)

ZEROS

Distinct14
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.38596217
Minimum0
Maximum14
Zeros2958
Zeros (%)15.4%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:20.208807image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median5
Q35
95-th percentile13
Maximum14
Range14
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.893074369
Coefficient of variation (CV)0.8876215113
Kurtosis0.08317538474
Mean4.38596217
Median Absolute Deviation (MAD)4
Skewness0.8769953361
Sum84171
Variance15.15602805
MonotonicityNot monotonic
2022-08-24T10:14:20.301556image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
55449
28.4%
14474
23.3%
02958
15.4%
41706
 
8.9%
81492
 
7.8%
131049
 
5.5%
14570
 
3.0%
6508
 
2.6%
10416
 
2.2%
9225
 
1.2%
Other values (4)344
 
1.8%
ValueCountFrequency (%)
02958
15.4%
14474
23.3%
2102
 
0.5%
41706
 
8.9%
55449
28.4%
ValueCountFrequency (%)
14570
3.0%
131049
5.5%
1232
 
0.2%
11196
 
1.0%
10416
 
2.2%

A12
Real number (ℝ≥0)

ZEROS

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3225470273
Minimum0
Maximum2
Zeros13164
Zeros (%)68.6%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:20.400291image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum2
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4852935645
Coefficient of variation (CV)1.504566849
Kurtosis-0.492854559
Mean0.3225470273
Median Absolute Deviation (MAD)0
Skewness0.9807571677
Sum6190
Variance0.2355098437
MonotonicityNot monotonic
2022-08-24T10:14:20.485067image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
013164
68.6%
15864
30.6%
2163
 
0.8%
ValueCountFrequency (%)
013164
68.6%
15864
30.6%
2163
 
0.8%
ValueCountFrequency (%)
2163
 
0.8%
15864
30.6%
013164
68.6%

A13
Real number (ℝ≥0)

ZEROS

Distinct10
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.251263613
Minimum0
Maximum9
Zeros13537
Zeros (%)70.5%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:20.583801image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33
95-th percentile6
Maximum9
Range9
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.166955475
Coefficient of variation (CV)1.731813706
Kurtosis1.651562857
Mean1.251263613
Median Absolute Deviation (MAD)0
Skewness1.605651097
Sum24013
Variance4.695696032
MonotonicityNot monotonic
2022-08-24T10:14:20.673560image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
013537
70.5%
41769
 
9.2%
31694
 
8.8%
61253
 
6.5%
1294
 
1.5%
9243
 
1.3%
2192
 
1.0%
8135
 
0.7%
563
 
0.3%
711
 
0.1%
ValueCountFrequency (%)
013537
70.5%
1294
 
1.5%
2192
 
1.0%
31694
 
8.8%
41769
 
9.2%
ValueCountFrequency (%)
9243
 
1.3%
8135
 
0.7%
711
 
0.1%
61253
6.5%
563
 
0.3%

A15A
Real number (ℝ≥0)

ZEROS

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.280965036
Minimum0
Maximum4
Zeros1115
Zeros (%)5.8%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:20.765314image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile3
Maximum4
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.851172031
Coefficient of variation (CV)0.6644771772
Kurtosis1.984166532
Mean1.280965036
Median Absolute Deviation (MAD)0
Skewness1.638141832
Sum24583
Variance0.7244938263
MonotonicityNot monotonic
2022-08-24T10:14:20.856514image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
115009
78.2%
32524
 
13.2%
01115
 
5.8%
4458
 
2.4%
285
 
0.4%
ValueCountFrequency (%)
01115
 
5.8%
115009
78.2%
285
 
0.4%
32524
 
13.2%
4458
 
2.4%
ValueCountFrequency (%)
4458
 
2.4%
32524
 
13.2%
285
 
0.4%
115009
78.2%
01115
 
5.8%

Nivinst
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.831535616
Minimum0
Maximum8
Zeros1872
Zeros (%)9.8%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:20.955257image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q34
95-th percentile7
Maximum8
Range8
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.44538419
Coefficient of variation (CV)0.8636247331
Kurtosis-0.8202694106
Mean2.831535616
Median Absolute Deviation (MAD)1
Skewness0.794987073
Sum54340
Variance5.979903838
MonotonicityNot monotonic
2022-08-24T10:14:21.046020image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
16413
33.4%
24024
21.0%
73285
17.1%
42571
13.4%
01872
 
9.8%
6375
 
2.0%
8365
 
1.9%
5286
 
1.5%
ValueCountFrequency (%)
01872
 
9.8%
16413
33.4%
24024
21.0%
42571
13.4%
5286
 
1.5%
ValueCountFrequency (%)
8365
 
1.9%
73285
17.1%
6375
 
2.0%
5286
 
1.5%
42571
13.4%

Escolari
Real number (ℝ≥0)

ZEROS

Distinct23
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.919024543
Minimum0
Maximum22
Zeros1912
Zeros (%)10.0%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:21.153095image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15
median7
Q311
95-th percentile16
Maximum22
Range22
Interquartile range (IQR)6

Descriptive statistics

Standard deviation4.761843326
Coefficient of variation (CV)0.6013169046
Kurtosis-0.7070176735
Mean7.919024543
Median Absolute Deviation (MAD)4
Skewness0.09272471223
Sum151974
Variance22.67515186
MonotonicityNot monotonic
2022-08-24T10:14:21.249308image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
64024
21.0%
112646
13.8%
01912
10.0%
91257
 
6.5%
8958
 
5.0%
14782
 
4.1%
7750
 
3.9%
3739
 
3.9%
17729
 
3.8%
12697
 
3.6%
Other values (13)4697
24.5%
ValueCountFrequency (%)
01912
10.0%
1489
 
2.5%
2591
 
3.1%
3739
 
3.9%
4532
 
2.8%
ValueCountFrequency (%)
2228
0.1%
213
 
< 0.1%
206
 
< 0.1%
194
 
< 0.1%
1816
0.1%

A16B
Real number (ℝ≥0)

ZEROS

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5220676359
Minimum0
Maximum6
Zeros16204
Zeros (%)84.4%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:21.338535image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.334795184
Coefficient of variation (CV)2.556747618
Kurtosis5.218274578
Mean0.5220676359
Median Absolute Deviation (MAD)0
Skewness2.510827543
Sum10019
Variance1.781678184
MonotonicityNot monotonic
2022-08-24T10:14:21.421740image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
016204
84.4%
41142
 
6.0%
3907
 
4.7%
1493
 
2.6%
6321
 
1.7%
2103
 
0.5%
521
 
0.1%
ValueCountFrequency (%)
016204
84.4%
1493
 
2.6%
2103
 
0.5%
3907
 
4.7%
41142
 
6.0%
ValueCountFrequency (%)
6321
 
1.7%
521
 
0.1%
41142
6.0%
3907
4.7%
2103
 
0.5%

A19B
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct59
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2145.935074
Minimum0
Maximum21822840
Zeros18913
Zeros (%)98.6%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:21.540974image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum21822840
Range21822840
Interquartile range (IQR)0

Descriptive statistics

Standard deviation157916.6584
Coefficient of variation (CV)73.58874008
Kurtosis19000.0544
Mean2145.935074
Median Absolute Deviation (MAD)0
Skewness137.5018312
Sum41182640
Variance2.493767099 × 1010
MonotonicityNot monotonic
2022-08-24T10:14:21.679304image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
018913
98.6%
1800062
 
0.3%
3000023
 
0.1%
4000016
 
0.1%
8000015
 
0.1%
15000015
 
0.1%
10000014
 
0.1%
6000010
 
0.1%
250009
 
< 0.1%
700009
 
< 0.1%
Other values (49)105
 
0.5%
ValueCountFrequency (%)
018913
98.6%
100001
 
< 0.1%
135001
 
< 0.1%
150004
 
< 0.1%
152001
 
< 0.1%
ValueCountFrequency (%)
218228401
 
< 0.1%
3000003
< 0.1%
2800001
 
< 0.1%
2600001
 
< 0.1%
2500001
 
< 0.1%

A20A
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1802928456
Minimum0
Maximum1
Zeros15731
Zeros (%)82.0%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:21.788364image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3844412006
Coefficient of variation (CV)2.132315341
Kurtosis0.7669921124
Mean0.1802928456
Median Absolute Deviation (MAD)0
Skewness1.663403797
Sum3460
Variance0.1477950367
MonotonicityNot monotonic
2022-08-24T10:14:21.884223image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
015731
82.0%
13460
 
18.0%
ValueCountFrequency (%)
015731
82.0%
13460
 
18.0%
ValueCountFrequency (%)
13460
 
18.0%
015731
82.0%

A23
Real number (ℝ≥0)

ZEROS

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5250898859
Minimum0
Maximum8
Zeros9929
Zeros (%)51.7%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:21.972986image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum8
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7406062479
Coefficient of variation (CV)1.410437085
Kurtosis39.50574859
Mean0.5250898859
Median Absolute Deviation (MAD)0
Skewness4.736353237
Sum10077
Variance0.5484976144
MonotonicityNot monotonic
2022-08-24T10:14:22.057759image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
09929
51.7%
19127
47.6%
7130
 
0.7%
85
 
< 0.1%
ValueCountFrequency (%)
09929
51.7%
19127
47.6%
7130
 
0.7%
85
 
< 0.1%
ValueCountFrequency (%)
85
 
< 0.1%
7130
 
0.7%
19127
47.6%
09929
51.7%

CondAct
Real number (ℝ≥0)

ZEROS

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.590849878
Minimum0
Maximum3
Zeros3484
Zeros (%)18.2%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:22.152529image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q33
95-th percentile3
Maximum3
Range3
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.151824192
Coefficient of variation (CV)0.7240307264
Kurtosis-1.501837432
Mean1.590849878
Median Absolute Deviation (MAD)1
Skewness0.1298886053
Sum30530
Variance1.32669897
MonotonicityNot monotonic
2022-08-24T10:14:22.232316image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
17810
40.7%
36926
36.1%
03484
18.2%
2971
 
5.1%
ValueCountFrequency (%)
03484
18.2%
17810
40.7%
2971
 
5.1%
36926
36.1%
ValueCountFrequency (%)
36926
36.1%
2971
 
5.1%
17810
40.7%
03484
18.2%

NumEmpl
Real number (ℝ≥0)

ZEROS

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4187900578
Minimum0
Maximum2
Zeros11381
Zeros (%)59.3%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:22.321078image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum2
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5167937543
Coefficient of variation (CV)1.234016292
Kurtosis-1.075281625
Mean0.4187900578
Median Absolute Deviation (MAD)0
Skewness0.5853755643
Sum8037
Variance0.2670757845
MonotonicityNot monotonic
2022-08-24T10:14:22.404854image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
011381
59.3%
17583
39.5%
2227
 
1.2%
ValueCountFrequency (%)
011381
59.3%
17583
39.5%
2227
 
1.2%
ValueCountFrequency (%)
2227
 
1.2%
17583
39.5%
011381
59.3%

Sub40Hor
Real number (ℝ≥0)

ZEROS

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.05794382784
Minimum0
Maximum9
Zeros18119
Zeros (%)94.4%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:22.498610image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2708301237
Coefficient of variation (CV)4.674011604
Kurtosis314.8803574
Mean0.05794382784
Median Absolute Deviation (MAD)0
Skewness11.71017535
Sum1112
Variance0.07334895589
MonotonicityNot monotonic
2022-08-24T10:14:22.573409image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
018119
94.4%
11067
 
5.6%
95
 
< 0.1%
ValueCountFrequency (%)
018119
94.4%
11067
 
5.6%
95
 
< 0.1%
ValueCountFrequency (%)
95
 
< 0.1%
11067
 
5.6%
018119
94.4%

SubSinHor
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.11323016
Minimum0
Maximum1
Zeros17018
Zeros (%)88.7%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:22.662206image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3168821914
Coefficient of variation (CV)2.79856702
Kurtosis3.960602035
Mean0.11323016
Median Absolute Deviation (MAD)0
Skewness2.441349891
Sum2173
Variance0.1004143232
MonotonicityNot monotonic
2022-08-24T10:14:22.752964image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
017018
88.7%
12173
 
11.3%
ValueCountFrequency (%)
017018
88.7%
12173
 
11.3%
ValueCountFrequency (%)
12173
 
11.3%
017018
88.7%

D10A
Real number (ℝ≥0)

ZEROS

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01333958626
Minimum0
Maximum6
Zeros19051
Zeros (%)99.3%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:22.852997image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1733381701
Coefficient of variation (CV)12.99426884
Kurtosis299.269052
Mean0.01333958626
Median Absolute Deviation (MAD)0
Skewness15.83929034
Sum256
Variance0.0300461212
MonotonicityNot monotonic
2022-08-24T10:14:22.943751image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
019051
99.3%
260
 
0.3%
157
 
0.3%
315
 
0.1%
47
 
< 0.1%
61
 
< 0.1%
ValueCountFrequency (%)
019051
99.3%
157
 
0.3%
260
 
0.3%
315
 
0.1%
47
 
< 0.1%
ValueCountFrequency (%)
61
 
< 0.1%
47
 
< 0.1%
315
 
0.1%
260
0.3%
157
0.3%

D13A
Real number (ℝ≥0)

ZEROS

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.03569381481
Minimum0
Maximum3
Zeros18807
Zeros (%)98.0%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:23.042486image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum3
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2656806902
Coefficient of variation (CV)7.44332573
Kurtosis67.88040332
Mean0.03569381481
Median Absolute Deviation (MAD)0
Skewness8.051018484
Sum685
Variance0.07058622912
MonotonicityNot monotonic
2022-08-24T10:14:23.132247image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
018807
98.0%
2209
 
1.1%
1129
 
0.7%
346
 
0.2%
ValueCountFrequency (%)
018807
98.0%
1129
 
0.7%
2209
 
1.1%
346
 
0.2%
ValueCountFrequency (%)
346
 
0.2%
2209
 
1.1%
1129
 
0.7%
018807
98.0%

D13B
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct43
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3975.152936
Minimum0
Maximum3500000
Zeros19065
Zeros (%)99.3%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:23.257604image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum3500000
Range3500000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation64597.46891
Coefficient of variation (CV)16.25031035
Kurtosis877.0040914
Mean3975.152936
Median Absolute Deviation (MAD)0
Skewness25.63395142
Sum76287160
Variance4172832990
MonotonicityNot monotonic
2022-08-24T10:14:23.404250image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
019065
99.3%
30000014
 
0.1%
50000011
 
0.1%
20000010
 
0.1%
6000009
 
< 0.1%
4000009
 
< 0.1%
4500006
 
< 0.1%
3500006
 
< 0.1%
8000005
 
< 0.1%
15000005
 
< 0.1%
Other values (33)51
 
0.3%
ValueCountFrequency (%)
019065
99.3%
500001
 
< 0.1%
600001
 
< 0.1%
750001
 
< 0.1%
1300001
 
< 0.1%
ValueCountFrequency (%)
35000001
 
< 0.1%
21650001
 
< 0.1%
20000003
< 0.1%
18525601
 
< 0.1%
18000002
< 0.1%

D13C
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.003334896566
Minimum0
Maximum1
Zeros19127
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:23.537892image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05765369229
Coefficient of variation (CV)17.28800014
Kurtosis294.9398714
Mean0.003334896566
Median Absolute Deviation (MAD)0
Skewness17.23105145
Sum64
Variance0.003323948234
MonotonicityNot monotonic
2022-08-24T10:14:23.640615image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
019127
99.7%
164
 
0.3%
ValueCountFrequency (%)
019127
99.7%
164
 
0.3%
ValueCountFrequency (%)
164
 
0.3%
019127
99.7%

D13C1
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct27
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2309.787921
Minimum0
Maximum3600000
Zeros19130
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:23.758578image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum3600000
Range3600000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation56022.86249
Coefficient of variation (CV)24.25454821
Kurtosis1783.810772
Mean2309.787921
Median Absolute Deviation (MAD)0
Skewness37.66803805
Sum44327140
Variance3138561122
MonotonicityNot monotonic
2022-08-24T10:14:23.880250image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
019130
99.7%
30000010
 
0.1%
5000008
 
< 0.1%
6000007
 
< 0.1%
15000004
 
< 0.1%
4000003
 
< 0.1%
20000003
 
< 0.1%
4500003
 
< 0.1%
8500002
 
< 0.1%
750002
 
< 0.1%
Other values (17)19
 
0.1%
ValueCountFrequency (%)
019130
99.7%
750002
 
< 0.1%
1000001
 
< 0.1%
1500001
 
< 0.1%
2000001
 
< 0.1%
ValueCountFrequency (%)
36000001
 
< 0.1%
30309501
 
< 0.1%
20000003
< 0.1%
18000001
 
< 0.1%
15000004
< 0.1%

D13D
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct41
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1895.811995
Minimum0
Maximum1500000
Zeros19087
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:24.019261image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1500000
Range1500000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation33930.92983
Coefficient of variation (CV)17.89783476
Kurtosis837.9995805
Mean1895.811995
Median Absolute Deviation (MAD)0
Skewness26.05802175
Sum36382528
Variance1151307999
MonotonicityNot monotonic
2022-08-24T10:14:24.157892image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
019087
99.5%
30000019
 
0.1%
5000009
 
< 0.1%
2000008
 
< 0.1%
1000007
 
< 0.1%
2500006
 
< 0.1%
1500006
 
< 0.1%
10000005
 
< 0.1%
4000005
 
< 0.1%
3500003
 
< 0.1%
Other values (31)36
 
0.2%
ValueCountFrequency (%)
019087
99.5%
100001
 
< 0.1%
200001
 
< 0.1%
300001
 
< 0.1%
380001
 
< 0.1%
ValueCountFrequency (%)
15000002
 
< 0.1%
12350401
 
< 0.1%
11000001
 
< 0.1%
10000005
< 0.1%
9000001
 
< 0.1%

D13E
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct23
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4018.575113
Minimum0
Maximum35000000
Zeros19155
Zeros (%)99.8%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:24.314693image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum35000000
Range35000000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation267173.8514
Coefficient of variation (CV)66.48472253
Kurtosis15399.29565
Mean4018.575113
Median Absolute Deviation (MAD)0
Skewness119.3765329
Sum77120475
Variance7.138186686 × 1010
MonotonicityNot monotonic
2022-08-24T10:14:24.436355image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
019155
99.8%
2500004
 
< 0.1%
10000003
 
< 0.1%
3000003
 
< 0.1%
7500002
 
< 0.1%
6000002
 
< 0.1%
1500002
 
< 0.1%
2000002
 
< 0.1%
20000002
 
< 0.1%
1250002
 
< 0.1%
Other values (13)14
 
0.1%
ValueCountFrequency (%)
019155
99.8%
1250002
 
< 0.1%
1500002
 
< 0.1%
1750001
 
< 0.1%
2000002
 
< 0.1%
ValueCountFrequency (%)
350000001
< 0.1%
80000001
< 0.1%
60000001
< 0.1%
35000001
< 0.1%
24000001
< 0.1%

D14A
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct196
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22600.66114
Minimum0
Maximum30000000
Zeros17896
Zeros (%)93.3%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:24.890997image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile90000
Maximum30000000
Range30000000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation268469.0038
Coefficient of variation (CV)11.87881196
Kurtosis8219.69909
Mean22600.66114
Median Absolute Deviation (MAD)0
Skewness77.6992014
Sum433729288
Variance7.2075606 × 1010
MonotonicityNot monotonic
2022-08-24T10:14:25.022274image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
017896
93.3%
200000104
 
0.5%
30000087
 
0.5%
10000079
 
0.4%
40000077
 
0.4%
15000073
 
0.4%
25000062
 
0.3%
50000052
 
0.3%
5000047
 
0.2%
35000033
 
0.2%
Other values (186)681
 
3.5%
ValueCountFrequency (%)
017896
93.3%
30001
 
< 0.1%
40001
 
< 0.1%
50005
 
< 0.1%
53921
 
< 0.1%
ValueCountFrequency (%)
300000001
 
< 0.1%
90000001
 
< 0.1%
65000001
 
< 0.1%
50000005
< 0.1%
35000001
 
< 0.1%

D14B
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct219
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean39141.1557
Minimum0
Maximum42000000
Zeros17926
Zeros (%)93.4%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:25.164415image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile90465
Maximum42000000
Range42000000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation560992.8838
Coefficient of variation (CV)14.33255799
Kurtosis3618.586982
Mean39141.1557
Median Absolute Deviation (MAD)0
Skewness54.74636017
Sum751157919
Variance3.147130156 × 1011
MonotonicityNot monotonic
2022-08-24T10:14:25.310625image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
017926
93.4%
20000073
 
0.4%
50000062
 
0.3%
30000059
 
0.3%
40000053
 
0.3%
15000049
 
0.3%
10000047
 
0.2%
25000038
 
0.2%
100000037
 
0.2%
35000035
 
0.2%
Other values (209)812
 
4.2%
ValueCountFrequency (%)
017926
93.4%
10001
 
< 0.1%
20001
 
< 0.1%
30001
 
< 0.1%
35002
 
< 0.1%
ValueCountFrequency (%)
420000001
< 0.1%
400000001
< 0.1%
300000001
< 0.1%
250000001
< 0.1%
100000002
< 0.1%

D14C
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct160
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20760.5587
Minimum0
Maximum37000000
Zeros17989
Zeros (%)93.7%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:25.465408image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile20000
Maximum37000000
Range37000000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation408282.7034
Coefficient of variation (CV)19.66626762
Kurtosis4999.914715
Mean20760.5587
Median Absolute Deviation (MAD)0
Skewness64.22259703
Sum398415882
Variance1.666947659 × 1011
MonotonicityNot monotonic
2022-08-24T10:14:25.603041image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
017989
93.7%
50000115
 
0.6%
100000113
 
0.6%
2000072
 
0.4%
20000062
 
0.3%
3000058
 
0.3%
1000047
 
0.2%
4000041
 
0.2%
30000040
 
0.2%
2500039
 
0.2%
Other values (150)615
 
3.2%
ValueCountFrequency (%)
017989
93.7%
5001
 
< 0.1%
10002
 
< 0.1%
15002
 
< 0.1%
20007
 
< 0.1%
ValueCountFrequency (%)
370000001
< 0.1%
280000001
< 0.1%
200000001
< 0.1%
100000001
< 0.1%
87687841
< 0.1%

D14E
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008441456933
Minimum0
Maximum1
Zeros19029
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:25.746134image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.09149117396
Coefficient of variation (CV)10.83831555
Kurtosis113.5013583
Mean0.008441456933
Median Absolute Deviation (MAD)0
Skewness10.7466055
Sum162
Variance0.008370634913
MonotonicityNot monotonic
2022-08-24T10:14:25.837921image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
019029
99.2%
1162
 
0.8%
ValueCountFrequency (%)
019029
99.2%
1162
 
0.8%
ValueCountFrequency (%)
1162
 
0.8%
019029
99.2%

D14F
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct49
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean434.2368819
Minimum0
Maximum750000
Zeros19036
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:25.960860image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum750000
Range750000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation9901.429423
Coefficient of variation (CV)22.80190798
Kurtosis2463.149779
Mean434.2368819
Median Absolute Deviation (MAD)0
Skewness43.31468868
Sum8333440
Variance98038304.62
MonotonicityNot monotonic
2022-08-24T10:14:26.142739image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
019036
99.2%
1000021
 
0.1%
2000016
 
0.1%
500012
 
0.1%
10000011
 
0.1%
150009
 
< 0.1%
300008
 
< 0.1%
500007
 
< 0.1%
250006
 
< 0.1%
30004
 
< 0.1%
Other values (39)61
 
0.3%
ValueCountFrequency (%)
019036
99.2%
10001
 
< 0.1%
15001
 
< 0.1%
18001
 
< 0.1%
20004
 
< 0.1%
ValueCountFrequency (%)
7500001
 
< 0.1%
5000001
 
< 0.1%
4000001
 
< 0.1%
3200001
 
< 0.1%
3000004
< 0.1%

D15A
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct87
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9431.13845
Minimum0
Maximum15000000
Zeros18988
Zeros (%)98.9%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:26.355363image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum15000000
Range15000000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation217205.6141
Coefficient of variation (CV)23.03068874
Kurtosis2312.051193
Mean9431.13845
Median Absolute Deviation (MAD)0
Skewness43.25974826
Sum180992978
Variance4.717827878 × 1010
MonotonicityNot monotonic
2022-08-24T10:14:26.509727image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
018988
98.9%
20000016
 
0.1%
10000013
 
0.1%
100000012
 
0.1%
800009
 
< 0.1%
3000009
 
< 0.1%
500008
 
< 0.1%
2500008
 
< 0.1%
300005
 
< 0.1%
4000005
 
< 0.1%
Other values (77)118
 
0.6%
ValueCountFrequency (%)
018988
98.9%
40001
 
< 0.1%
80001
 
< 0.1%
90001
 
< 0.1%
100003
 
< 0.1%
ValueCountFrequency (%)
150000001
< 0.1%
126000001
< 0.1%
100000001
< 0.1%
80000001
< 0.1%
70000002
< 0.1%

D16
Real number (ℝ≥0)

ZEROS

Distinct157
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14815.44964
Minimum0
Maximum2500000
Zeros17686
Zeros (%)92.2%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:26.670771image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile100000
Maximum2500000
Range2500000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation79446.83056
Coefficient of variation (CV)5.362431279
Kurtosis184.8366358
Mean14815.44964
Median Absolute Deviation (MAD)0
Skewness10.77877702
Sum284323294
Variance6311798885
MonotonicityNot monotonic
2022-08-24T10:14:26.815664image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
017686
92.2%
100000164
 
0.9%
200000148
 
0.8%
300000102
 
0.5%
15000091
 
0.5%
5000086
 
0.4%
25000066
 
0.3%
40000056
 
0.3%
2000054
 
0.3%
3000045
 
0.2%
Other values (147)693
 
3.6%
ValueCountFrequency (%)
017686
92.2%
20001
 
< 0.1%
30002
 
< 0.1%
40003
 
< 0.1%
500010
 
0.1%
ValueCountFrequency (%)
25000001
 
< 0.1%
20000003
< 0.1%
15000004
< 0.1%
12350401
 
< 0.1%
12000003
< 0.1%

D17
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct50
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean339.8337762
Minimum0
Maximum400000
Zeros19069
Zeros (%)99.4%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:26.966712image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum400000
Range400000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation7213.533152
Coefficient of variation (CV)21.22665154
Kurtosis1447.490694
Mean339.8337762
Median Absolute Deviation (MAD)0
Skewness34.56252758
Sum6521750
Variance52035060.53
MonotonicityNot monotonic
2022-08-24T10:14:27.102349image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
019069
99.4%
2000014
 
0.1%
1000011
 
0.1%
250008
 
< 0.1%
500006
 
< 0.1%
300006
 
< 0.1%
150005
 
< 0.1%
60004
 
< 0.1%
180004
 
< 0.1%
1500004
 
< 0.1%
Other values (40)60
 
0.3%
ValueCountFrequency (%)
019069
99.4%
15001
 
< 0.1%
20001
 
< 0.1%
40001
 
< 0.1%
49001
 
< 0.1%
ValueCountFrequency (%)
4000001
< 0.1%
3500002
< 0.1%
2800001
< 0.1%
2300001
< 0.1%
2200001
< 0.1%

D17A
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct17
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.04653222865
Minimum0
Maximum30
Zeros19069
Zeros (%)99.4%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:27.223026image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum30
Range30
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9257321573
Coefficient of variation (CV)19.89442982
Kurtosis826.6475804
Mean0.04653222865
Median Absolute Deviation (MAD)0
Skewness27.55562813
Sum893
Variance0.8569800271
MonotonicityNot monotonic
2022-08-24T10:14:27.315790image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
019069
99.4%
126
 
0.1%
319
 
0.1%
217
 
0.1%
515
 
0.1%
3012
 
0.1%
78
 
< 0.1%
47
 
< 0.1%
64
 
< 0.1%
153
 
< 0.1%
Other values (7)11
 
0.1%
ValueCountFrequency (%)
019069
99.4%
126
 
0.1%
217
 
0.1%
319
 
0.1%
47
 
< 0.1%
ValueCountFrequency (%)
3012
0.1%
253
 
< 0.1%
241
 
< 0.1%
211
 
< 0.1%
181
 
< 0.1%

E4B
Real number (ℝ≥0)

ZEROS

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3267677557
Minimum0
Maximum2
Zeros13436
Zeros (%)70.0%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:27.414560image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum2
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5232399667
Coefficient of variation (CV)1.60125948
Kurtosis0.667272233
Mean0.3267677557
Median Absolute Deviation (MAD)0
Skewness1.29042923
Sum6271
Variance0.2737800627
MonotonicityNot monotonic
2022-08-24T10:14:27.509334image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
013436
70.0%
15239
 
27.3%
2516
 
2.7%
ValueCountFrequency (%)
013436
70.0%
15239
 
27.3%
2516
 
2.7%
ValueCountFrequency (%)
2516
 
2.7%
15239
 
27.3%
013436
70.0%

E6E
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.006148715544
Minimum0
Maximum1
Zeros19073
Zeros (%)99.4%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:27.606175image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07817433903
Coefficient of variation (CV)12.71393
Kurtosis157.6831722
Mean0.006148715544
Median Absolute Deviation (MAD)0
Skewness12.63593048
Sum118
Variance0.006111227283
MonotonicityNot monotonic
2022-08-24T10:14:27.709992image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
019073
99.4%
1118
 
0.6%
ValueCountFrequency (%)
019073
99.4%
1118
 
0.6%
ValueCountFrequency (%)
1118
 
0.6%
019073
99.4%

E6F
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.006565577615
Minimum0
Maximum1
Zeros19065
Zeros (%)99.3%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:27.808768image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08076391951
Coefficient of variation (CV)12.30111412
Kurtosis147.3548343
Mean0.006565577615
Median Absolute Deviation (MAD)0
Skewness12.22045325
Sum126
Variance0.006522810694
MonotonicityNot monotonic
2022-08-24T10:14:27.904504image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
019065
99.3%
1126
 
0.7%
ValueCountFrequency (%)
019065
99.3%
1126
 
0.7%
ValueCountFrequency (%)
1126
 
0.7%
019065
99.3%

E8A
Real number (ℝ≥0)

ZEROS

Distinct9
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.35876192
Minimum0
Maximum8
Zeros13321
Zeros (%)69.4%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:28.007928image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q38
95-th percentile8
Maximum8
Range8
Interquartile range (IQR)8

Descriptive statistics

Standard deviation3.589319779
Coefficient of variation (CV)1.521696509
Kurtosis-1.185925004
Mean2.35876192
Median Absolute Deviation (MAD)0
Skewness0.8864957422
Sum45267
Variance12.88321648
MonotonicityNot monotonic
2022-08-24T10:14:28.106657image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
013321
69.4%
85091
 
26.5%
7413
 
2.2%
5246
 
1.3%
338
 
0.2%
236
 
0.2%
633
 
0.2%
47
 
< 0.1%
16
 
< 0.1%
ValueCountFrequency (%)
013321
69.4%
16
 
< 0.1%
236
 
0.2%
338
 
0.2%
47
 
< 0.1%
ValueCountFrequency (%)
85091
26.5%
7413
 
2.2%
633
 
0.2%
5246
 
1.3%
47
 
< 0.1%

E8B
Real number (ℝ≥0)

ZEROS

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8338804648
Minimum0
Maximum6
Zeros13327
Zeros (%)69.4%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:28.212366image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3
Maximum6
Range6
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.434997879
Coefficient of variation (CV)1.720867606
Kurtosis1.621501713
Mean0.8338804648
Median Absolute Deviation (MAD)0
Skewness1.586935262
Sum16003
Variance2.059218912
MonotonicityNot monotonic
2022-08-24T10:14:28.330051image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
013327
69.4%
33375
 
17.6%
11454
 
7.6%
4479
 
2.5%
6343
 
1.8%
2205
 
1.1%
58
 
< 0.1%
ValueCountFrequency (%)
013327
69.4%
11454
 
7.6%
2205
 
1.1%
33375
 
17.6%
4479
 
2.5%
ValueCountFrequency (%)
6343
 
1.8%
58
 
< 0.1%
4479
 
2.5%
33375
17.6%
2205
 
1.1%

E9A
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2478766088
Minimum0
Maximum1
Zeros14434
Zeros (%)75.2%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:28.434758image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4317910499
Coefficient of variation (CV)1.741959647
Kurtosis-0.6360186989
Mean0.2478766088
Median Absolute Deviation (MAD)0
Skewness1.167924482
Sum4757
Variance0.1864435108
MonotonicityNot monotonic
2022-08-24T10:14:28.533525image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
014434
75.2%
14757
 
24.8%
ValueCountFrequency (%)
014434
75.2%
14757
 
24.8%
ValueCountFrequency (%)
14757
 
24.8%
014434
75.2%

E9B
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2394351519
Minimum0
Maximum1
Zeros14596
Zeros (%)76.1%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:28.631251image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4267498677
Coefficient of variation (CV)1.782319197
Kurtosis-0.5085113782
Mean0.2394351519
Median Absolute Deviation (MAD)0
Skewness1.221286874
Sum4595
Variance0.1821154496
MonotonicityNot monotonic
2022-08-24T10:14:28.724005image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
014596
76.1%
14595
 
23.9%
ValueCountFrequency (%)
014596
76.1%
14595
 
23.9%
ValueCountFrequency (%)
14595
 
23.9%
014596
76.1%

E9C
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2335990829
Minimum0
Maximum1
Zeros14708
Zeros (%)76.6%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:28.821746image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4231310444
Coefficient of variation (CV)1.81135576
Kurtosis-0.4141564328
Mean0.2335990829
Median Absolute Deviation (MAD)0
Skewness1.259319951
Sum4483
Variance0.1790398807
MonotonicityNot monotonic
2022-08-24T10:14:28.921736image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
014708
76.6%
14483
 
23.4%
ValueCountFrequency (%)
014708
76.6%
14483
 
23.4%
ValueCountFrequency (%)
14483
 
23.4%
014708
76.6%

E9D
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2196863113
Minimum0
Maximum1
Zeros14975
Zeros (%)78.0%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:29.018502image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4140448876
Coefficient of variation (CV)1.884709544
Kurtosis-0.1662498164
Mean0.2196863113
Median Absolute Deviation (MAD)0
Skewness1.354166725
Sum4216
Variance0.1714331689
MonotonicityNot monotonic
2022-08-24T10:14:29.109256image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
014975
78.0%
14216
 
22.0%
ValueCountFrequency (%)
014975
78.0%
14216
 
22.0%
ValueCountFrequency (%)
14216
 
22.0%
014975
78.0%

E9E
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1686728154
Minimum0
Maximum1
Zeros15954
Zeros (%)83.1%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:29.201010image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3744724339
Coefficient of variation (CV)2.220111362
Kurtosis1.132141028
Mean0.1686728154
Median Absolute Deviation (MAD)0
Skewness1.769752257
Sum3237
Variance0.1402296038
MonotonicityNot monotonic
2022-08-24T10:14:29.294847image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
015954
83.1%
13237
 
16.9%
ValueCountFrequency (%)
015954
83.1%
13237
 
16.9%
ValueCountFrequency (%)
13237
 
16.9%
015954
83.1%

E11B
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct24
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean83.76280548
Minimum0
Maximum350000
Zeros19150
Zeros (%)99.8%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:29.406541image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum350000
Range350000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3420.076468
Coefficient of variation (CV)40.83049091
Kurtosis6413.895031
Mean83.76280548
Median Absolute Deviation (MAD)0
Skewness72.29420004
Sum1607492
Variance11696923.05
MonotonicityNot monotonic
2022-08-24T10:14:29.516939image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
019150
99.8%
50005
 
< 0.1%
100004
 
< 0.1%
250004
 
< 0.1%
200004
 
< 0.1%
300003
 
< 0.1%
150002
 
< 0.1%
1000002
 
< 0.1%
500002
 
< 0.1%
3500001
 
< 0.1%
Other values (14)14
 
0.1%
ValueCountFrequency (%)
019150
99.8%
6171
 
< 0.1%
10001
 
< 0.1%
20001
 
< 0.1%
30001
 
< 0.1%
ValueCountFrequency (%)
3500001
< 0.1%
1800001
< 0.1%
1500001
< 0.1%
1000002
< 0.1%
900001
< 0.1%

E12A
Real number (ℝ≥0)

ZEROS

Distinct557
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean148315.4967
Minimum0
Maximum8200000
Zeros13749
Zeros (%)71.6%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:29.655568image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3160000
95-th percentile800000
Maximum8200000
Range8200000
Interquartile range (IQR)160000

Descriptive statistics

Standard deviation357070.4357
Coefficient of variation (CV)2.407505916
Kurtosis45.40486245
Mean148315.4967
Median Absolute Deviation (MAD)0
Skewness5.015743077
Sum2846322697
Variance1.27499296 × 1011
MonotonicityNot monotonic
2022-08-24T10:14:29.796296image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
013749
71.6%
300000315
 
1.6%
400000254
 
1.3%
350000251
 
1.3%
500000190
 
1.0%
450000182
 
0.9%
600000161
 
0.8%
200000158
 
0.8%
320000134
 
0.7%
1000000132
 
0.7%
Other values (547)3665
 
19.1%
ValueCountFrequency (%)
013749
71.6%
30001
 
< 0.1%
60002
 
< 0.1%
70001
 
< 0.1%
100005
 
< 0.1%
ValueCountFrequency (%)
82000001
 
< 0.1%
60000001
 
< 0.1%
50000001
 
< 0.1%
49401601
 
< 0.1%
45000004
< 0.1%

E12B
Real number (ℝ≥0)

ZEROS

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2987858892
Minimum0
Maximum3
Zeros13749
Zeros (%)71.6%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:29.915632image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum3
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4910221449
Coefficient of variation (CV)1.643391347
Kurtosis0.7697904648
Mean0.2987858892
Median Absolute Deviation (MAD)0
Skewness1.302547903
Sum5734
Variance0.2411027468
MonotonicityNot monotonic
2022-08-24T10:14:29.996771image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
013749
71.6%
15161
 
26.9%
2270
 
1.4%
311
 
0.1%
ValueCountFrequency (%)
013749
71.6%
15161
 
26.9%
2270
 
1.4%
311
 
0.1%
ValueCountFrequency (%)
311
 
0.1%
2270
 
1.4%
15161
 
26.9%
013749
71.6%

E12C
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct11
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean160.0750352
Minimum0
Maximum960000
Zeros19180
Zeros (%)99.9%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:30.096892image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum960000
Range960000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation9980.105926
Coefficient of variation (CV)62.34642345
Kurtosis6928.68722
Mean160.0750352
Median Absolute Deviation (MAD)0
Skewness80.27874797
Sum3072000
Variance99602514.3
MonotonicityNot monotonic
2022-08-24T10:14:30.195151image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
019180
99.9%
300002
 
< 0.1%
4920001
 
< 0.1%
2000001
 
< 0.1%
1100001
 
< 0.1%
1500001
 
< 0.1%
700001
 
< 0.1%
8000001
 
< 0.1%
1300001
 
< 0.1%
1000001
 
< 0.1%
ValueCountFrequency (%)
019180
99.9%
300002
 
< 0.1%
700001
 
< 0.1%
1000001
 
< 0.1%
1100001
 
< 0.1%
ValueCountFrequency (%)
9600001
< 0.1%
8000001
< 0.1%
4920001
< 0.1%
2000001
< 0.1%
1500001
< 0.1%

E13B
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005106560367
Minimum0
Maximum1
Zeros19093
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:30.293206image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07127936696
Coefficient of variation (CV)13.95839114
Kurtosis190.8817045
Mean0.005106560367
Median Absolute Deviation (MAD)0
Skewness13.88746959
Sum98
Variance0.005080748154
MonotonicityNot monotonic
2022-08-24T10:14:30.381269image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
019093
99.5%
198
 
0.5%
ValueCountFrequency (%)
019093
99.5%
198
 
0.5%
ValueCountFrequency (%)
198
 
0.5%
019093
99.5%

E14A
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2116617164
Minimum0
Maximum1
Zeros15129
Zeros (%)78.8%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:30.469545image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4084969148
Coefficient of variation (CV)1.92995182
Kurtosis-0.00667819103
Mean0.2116617164
Median Absolute Deviation (MAD)0
Skewness1.411850741
Sum4062
Variance0.1668697294
MonotonicityNot monotonic
2022-08-24T10:14:30.554548image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
015129
78.8%
14062
 
21.2%
ValueCountFrequency (%)
015129
78.8%
14062
 
21.2%
ValueCountFrequency (%)
14062
 
21.2%
015129
78.8%

E14A1
Real number (ℝ≥0)

ZEROS

Distinct371
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean123240.736
Minimum0
Maximum8000000
Zeros15270
Zeros (%)79.6%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:30.672984image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile750000
Maximum8000000
Range8000000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation345849.142
Coefficient of variation (CV)2.806289164
Kurtosis49.28606546
Mean123240.736
Median Absolute Deviation (MAD)0
Skewness5.342633503
Sum2365112965
Variance1.19611629 × 1011
MonotonicityNot monotonic
2022-08-24T10:14:31.236571image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
015270
79.6%
300000255
 
1.3%
400000242
 
1.3%
350000205
 
1.1%
500000194
 
1.0%
600000143
 
0.7%
450000140
 
0.7%
1000000132
 
0.7%
700000118
 
0.6%
200000106
 
0.6%
Other values (361)2386
 
12.4%
ValueCountFrequency (%)
015270
79.6%
180001
 
< 0.1%
200002
 
< 0.1%
250003
 
< 0.1%
300004
 
< 0.1%
ValueCountFrequency (%)
80000001
 
< 0.1%
60000001
 
< 0.1%
50000002
 
< 0.1%
45000003
 
< 0.1%
40000008
< 0.1%

E14A2
Real number (ℝ≥0)

ZEROS

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.634411964
Minimum0
Maximum8
Zeros15270
Zeros (%)79.6%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:31.355535image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile8
Maximum8
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.225509274
Coefficient of variation (CV)1.973498325
Kurtosis0.1517963524
Mean1.634411964
Median Absolute Deviation (MAD)0
Skewness1.466871233
Sum31366
Variance10.40391007
MonotonicityNot monotonic
2022-08-24T10:14:31.443491image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
015270
79.6%
83920
 
20.4%
61
 
< 0.1%
ValueCountFrequency (%)
015270
79.6%
61
 
< 0.1%
83920
 
20.4%
ValueCountFrequency (%)
83920
 
20.4%
61
 
< 0.1%
015270
79.6%

E14B
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0595070606
Minimum0
Maximum1
Zeros18049
Zeros (%)94.0%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:31.537203image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2365774435
Coefficient of variation (CV)3.975619718
Kurtosis11.87140612
Mean0.0595070606
Median Absolute Deviation (MAD)0
Skewness3.724267571
Sum1142
Variance0.05596888675
MonotonicityNot monotonic
2022-08-24T10:14:31.629047image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
018049
94.0%
11142
 
6.0%
ValueCountFrequency (%)
018049
94.0%
11142
 
6.0%
ValueCountFrequency (%)
11142
 
6.0%
018049
94.0%

E14B1
Real number (ℝ≥0)

ZEROS

Distinct147
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean44004.07358
Minimum0
Maximum5500000
Zeros18110
Zeros (%)94.4%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:31.748734image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile290000
Maximum5500000
Range5500000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation225759.1817
Coefficient of variation (CV)5.130415512
Kurtosis96.38151863
Mean44004.07358
Median Absolute Deviation (MAD)0
Skewness8.037087038
Sum844482176
Variance5.096720811 × 1010
MonotonicityNot monotonic
2022-08-24T10:14:31.885528image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
018110
94.4%
80000066
 
0.3%
70000064
 
0.3%
50000061
 
0.3%
100000061
 
0.3%
60000059
 
0.3%
40000053
 
0.3%
120000053
 
0.3%
30000043
 
0.2%
90000034
 
0.2%
Other values (137)587
 
3.1%
ValueCountFrequency (%)
018110
94.4%
320001
 
< 0.1%
500001
 
< 0.1%
1000008
 
< 0.1%
1050001
 
< 0.1%
ValueCountFrequency (%)
55000001
 
< 0.1%
45000003
< 0.1%
40000002
< 0.1%
38000001
 
< 0.1%
35000002
< 0.1%

E14C
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.004637590537
Minimum0
Maximum1
Zeros19102
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:32.000221image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.06794353418
Coefficient of variation (CV)14.65061084
Kurtosis210.689074
Mean0.004637590537
Median Absolute Deviation (MAD)0
Skewness14.58311067
Sum89
Variance0.004616323838
MonotonicityNot monotonic
2022-08-24T10:14:32.086989image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
019102
99.5%
189
 
0.5%
ValueCountFrequency (%)
019102
99.5%
189
 
0.5%
ValueCountFrequency (%)
189
 
0.5%
019102
99.5%

E14C1
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct40
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3367.168725
Minimum0
Maximum12123800
Zeros19107
Zeros (%)99.6%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:32.200843image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum12123800
Range12123800
Interquartile range (IQR)0

Descriptive statistics

Standard deviation108350.6526
Coefficient of variation (CV)32.17856349
Kurtosis8348.574374
Mean3367.168725
Median Absolute Deviation (MAD)0
Skewness80.20352559
Sum64619335
Variance1.173986392 × 1010
MonotonicityNot monotonic
2022-08-24T10:14:32.341327image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
019107
99.6%
100000011
 
0.1%
500006
 
< 0.1%
3000005
 
< 0.1%
5000005
 
< 0.1%
4000004
 
< 0.1%
2000004
 
< 0.1%
1200003
 
< 0.1%
20000003
 
< 0.1%
6000003
 
< 0.1%
Other values (30)40
 
0.2%
ValueCountFrequency (%)
019107
99.6%
250001
 
< 0.1%
400001
 
< 0.1%
500006
 
< 0.1%
600001
 
< 0.1%
ValueCountFrequency (%)
121238001
< 0.1%
40000001
< 0.1%
30000001
< 0.1%
27000001
< 0.1%
22000001
< 0.1%

E14C2
Real number (ℝ≥0)

ZEROS

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.03126465531
Minimum0
Maximum8
Zeros19107
Zeros (%)99.6%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:32.452031image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum8
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.484638501
Coefficient of variation (CV)15.50116245
Kurtosis252.6136415
Mean0.03126465531
Median Absolute Deviation (MAD)0
Skewness15.85174215
Sum600
Variance0.2348744766
MonotonicityNot monotonic
2022-08-24T10:14:32.536813image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
019107
99.6%
864
 
0.3%
310
 
0.1%
69
 
< 0.1%
41
 
< 0.1%
ValueCountFrequency (%)
019107
99.6%
310
 
0.1%
41
 
< 0.1%
69
 
< 0.1%
864
 
0.3%
ValueCountFrequency (%)
864
 
0.3%
69
 
< 0.1%
41
 
< 0.1%
310
 
0.1%
019107
99.6%

E14D
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0008337241415
Minimum0
Maximum1
Zeros19175
Zeros (%)99.9%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:32.632999image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.02886299456
Coefficient of variation (CV)34.61935804
Kurtosis1194.749903
Mean0.0008337241415
Median Absolute Deviation (MAD)0
Skewness34.59227358
Sum16
Variance0.0008330724551
MonotonicityNot monotonic
2022-08-24T10:14:32.726747image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
019175
99.9%
116
 
0.1%
ValueCountFrequency (%)
019175
99.9%
116
 
0.1%
ValueCountFrequency (%)
116
 
0.1%
019175
99.9%

E14D2
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.003543327601
Minimum0
Maximum8
Zeros19175
Zeros (%)99.9%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:32.823489image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum8
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1567915431
Coefficient of variation (CV)44.24980154
Kurtosis2488.327411
Mean0.003543327601
Median Absolute Deviation (MAD)0
Skewness49.36422879
Sum68
Variance0.024583588
MonotonicityNot monotonic
2022-08-24T10:14:32.916471image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
019175
99.9%
18
 
< 0.1%
87
 
< 0.1%
41
 
< 0.1%
ValueCountFrequency (%)
019175
99.9%
18
 
< 0.1%
41
 
< 0.1%
87
 
< 0.1%
ValueCountFrequency (%)
87
 
< 0.1%
41
 
< 0.1%
18
 
< 0.1%
019175
99.9%

E15A
Real number (ℝ≥0)

ZEROS

Distinct72
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2318.798499
Minimum0
Maximum900000
Zeros19031
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:33.053105image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum900000
Range900000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation28846.73389
Coefficient of variation (CV)12.44037975
Kurtosis262.5453879
Mean2318.798499
Median Absolute Deviation (MAD)0
Skewness14.9418502
Sum44500062
Variance832134056.2
MonotonicityNot monotonic
2022-08-24T10:14:33.189155image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
019031
99.2%
40000011
 
0.1%
3000009
 
< 0.1%
3500008
 
< 0.1%
1000008
 
< 0.1%
2000007
 
< 0.1%
2800007
 
< 0.1%
2400005
 
< 0.1%
3200005
 
< 0.1%
2600004
 
< 0.1%
Other values (62)96
 
0.5%
ValueCountFrequency (%)
019031
99.2%
200002
 
< 0.1%
300001
 
< 0.1%
400004
 
< 0.1%
420001
 
< 0.1%
ValueCountFrequency (%)
9000001
 
< 0.1%
8000001
 
< 0.1%
6820001
 
< 0.1%
6500001
 
< 0.1%
6000003
< 0.1%

E15B
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct56
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean435.2477724
Minimum0
Maximum480000
Zeros19080
Zeros (%)99.4%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:33.332760image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum480000
Range480000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation9742.959
Coefficient of variation (CV)22.38485667
Kurtosis1249.270212
Mean435.2477724
Median Absolute Deviation (MAD)0
Skewness33.02954974
Sum8352840
Variance94925250.08
MonotonicityNot monotonic
2022-08-24T10:14:33.496492image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
019080
99.4%
3000011
 
0.1%
400008
 
< 0.1%
100008
 
< 0.1%
200005
 
< 0.1%
500005
 
< 0.1%
150004
 
< 0.1%
80003
 
< 0.1%
900003
 
< 0.1%
700003
 
< 0.1%
Other values (46)61
 
0.3%
ValueCountFrequency (%)
019080
99.4%
20001
 
< 0.1%
40002
 
< 0.1%
50003
 
< 0.1%
60001
 
< 0.1%
ValueCountFrequency (%)
4800001
< 0.1%
4500001
< 0.1%
4330001
< 0.1%
3600001
< 0.1%
3500001
< 0.1%

E17
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.007711948309
Minimum0
Maximum1
Zeros19043
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:33.626143image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08748070037
Coefficient of variation (CV)11.34352784
Kurtosis124.7094927
Mean0.007711948309
Median Absolute Deviation (MAD)0
Skewness11.25595381
Sum148
Variance0.007652872936
MonotonicityNot monotonic
2022-08-24T10:14:33.727835image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
019043
99.2%
1148
 
0.8%
ValueCountFrequency (%)
019043
99.2%
1148
 
0.8%
ValueCountFrequency (%)
1148
 
0.8%
019043
99.2%

F10
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0003126465531
Minimum0
Maximum1
Zeros19185
Zeros (%)> 99.9%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:33.824613image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.01767951052
Coefficient of variation (CV)56.5479144
Kurtosis3194.332812
Mean0.0003126465531
Median Absolute Deviation (MAD)0
Skewness56.53317533
Sum6
Variance0.0003125650923
MonotonicityNot monotonic
2022-08-24T10:14:33.919359image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
019185
> 99.9%
16
 
< 0.1%
ValueCountFrequency (%)
019185
> 99.9%
16
 
< 0.1%
ValueCountFrequency (%)
16
 
< 0.1%
019185
> 99.9%

F11A
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct53
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1616.613256
Minimum0
Maximum3600000
Zeros19070
Zeros (%)99.4%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:34.046719image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum3600000
Range3600000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation43982.80356
Coefficient of variation (CV)27.20675671
Kurtosis3665.944238
Mean1616.613256
Median Absolute Deviation (MAD)0
Skewness54.1737061
Sum31024425
Variance1934487009
MonotonicityNot monotonic
2022-08-24T10:14:34.192325image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
019070
99.4%
15000010
 
0.1%
5000010
 
0.1%
1000008
 
< 0.1%
200007
 
< 0.1%
3000007
 
< 0.1%
2000005
 
< 0.1%
100005
 
< 0.1%
300005
 
< 0.1%
600004
 
< 0.1%
Other values (43)60
 
0.3%
ValueCountFrequency (%)
019070
99.4%
30001
 
< 0.1%
45002
 
< 0.1%
50001
 
< 0.1%
100005
 
< 0.1%
ValueCountFrequency (%)
36000001
< 0.1%
29000001
< 0.1%
20000001
< 0.1%
13200001
< 0.1%
11000001
< 0.1%

F11A1
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.009796258663
Minimum0
Maximum8
Zeros19070
Zeros (%)99.4%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:34.331953image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum8
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1843482532
Coefficient of variation (CV)18.81823046
Kurtosis1381.929066
Mean0.009796258663
Median Absolute Deviation (MAD)0
Skewness34.14655411
Sum188
Variance0.03398427845
MonotonicityNot monotonic
2022-08-24T10:14:34.430688image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
019070
99.4%
1107
 
0.6%
87
 
< 0.1%
33
 
< 0.1%
42
 
< 0.1%
61
 
< 0.1%
21
 
< 0.1%
ValueCountFrequency (%)
019070
99.4%
1107
 
0.6%
21
 
< 0.1%
33
 
< 0.1%
42
 
< 0.1%
ValueCountFrequency (%)
87
< 0.1%
61
 
< 0.1%
42
 
< 0.1%
33
< 0.1%
21
 
< 0.1%

F11B1
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.003074357772
Minimum0
Maximum8
Zeros19165
Zeros (%)99.9%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:34.534410image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum8
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1252030374
Coefficient of variation (CV)40.72494051
Kurtosis3542.63337
Mean0.003074357772
Median Absolute Deviation (MAD)0
Skewness57.25583656
Sum59
Variance0.01567580057
MonotonicityNot monotonic
2022-08-24T10:14:34.619184image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
019165
99.9%
120
 
0.1%
84
 
< 0.1%
31
 
< 0.1%
41
 
< 0.1%
ValueCountFrequency (%)
019165
99.9%
120
 
0.1%
31
 
< 0.1%
41
 
< 0.1%
84
 
< 0.1%
ValueCountFrequency (%)
84
 
< 0.1%
41
 
< 0.1%
31
 
< 0.1%
120
 
0.1%
019165
99.9%

PosiUltCesa
Real number (ℝ≥0)

ZEROS

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.483351571
Minimum0
Maximum22
Zeros18480
Zeros (%)96.3%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:34.715081image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum22
Range22
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.537457078
Coefficient of variation (CV)5.249713107
Kurtosis31.5475301
Mean0.483351571
Median Absolute Deviation (MAD)0
Skewness5.502535637
Sum9276
Variance6.438688422
MonotonicityNot monotonic
2022-08-24T10:14:34.796862image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
018480
96.3%
12571
 
3.0%
2258
 
0.3%
1155
 
0.3%
2124
 
0.1%
133
 
< 0.1%
ValueCountFrequency (%)
018480
96.3%
1155
 
0.3%
12571
 
3.0%
133
 
< 0.1%
2124
 
0.1%
ValueCountFrequency (%)
2258
 
0.3%
2124
 
0.1%
133
 
< 0.1%
12571
3.0%
1155
 
0.3%

H2C
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct73
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean416.7806784
Minimum0
Maximum300000
Zeros18728
Zeros (%)97.6%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:34.918822image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum300000
Range300000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5139.867081
Coefficient of variation (CV)12.33230653
Kurtosis1514.482392
Mean416.7806784
Median Absolute Deviation (MAD)0
Skewness32.30956905
Sum7998438
Variance26418233.61
MonotonicityNot monotonic
2022-08-24T10:14:35.054502image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
018728
97.6%
1000094
 
0.5%
500065
 
0.3%
2000041
 
0.2%
200028
 
0.1%
1500026
 
0.1%
3000018
 
0.1%
5000014
 
0.1%
300014
 
0.1%
400013
 
0.1%
Other values (63)150
 
0.8%
ValueCountFrequency (%)
018728
97.6%
5003
 
< 0.1%
7001
 
< 0.1%
10006
 
< 0.1%
12001
 
< 0.1%
ValueCountFrequency (%)
3000002
 
< 0.1%
2000001
 
< 0.1%
1950001
 
< 0.1%
1000008
< 0.1%
950001
 
< 0.1%

H9A
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01875879318
Minimum0
Maximum1
Zeros18831
Zeros (%)98.1%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:35.170235image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1356755691
Coefficient of variation (CV)7.232638464
Kurtosis48.340357
Mean0.01875879318
Median Absolute Deviation (MAD)0
Skewness7.094738839
Sum360
Variance0.01840786005
MonotonicityNot monotonic
2022-08-24T10:14:35.255154image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
018831
98.1%
1360
 
1.9%
ValueCountFrequency (%)
018831
98.1%
1360
 
1.9%
ValueCountFrequency (%)
1360
 
1.9%
018831
98.1%

H9A1
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct87
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6378.626075
Minimum0
Maximum9262800
Zeros18835
Zeros (%)98.1%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:35.376307image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum9262800
Range9262800
Interquartile range (IQR)0

Descriptive statistics

Standard deviation114572.7483
Coefficient of variation (CV)17.96197911
Kurtosis3665.713949
Mean6378.626075
Median Absolute Deviation (MAD)0
Skewness53.02034736
Sum122412213
Variance1.312691466 × 1010
MonotonicityNot monotonic
2022-08-24T10:14:35.510654image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
018835
98.1%
10000038
 
0.2%
20000028
 
0.1%
15000025
 
0.1%
30000015
 
0.1%
50000014
 
0.1%
5000014
 
0.1%
8000013
 
0.1%
6000010
 
0.1%
25000010
 
0.1%
Other values (77)189
 
1.0%
ValueCountFrequency (%)
018835
98.1%
120001
 
< 0.1%
150001
 
< 0.1%
180001
 
< 0.1%
200004
 
< 0.1%
ValueCountFrequency (%)
92628001
< 0.1%
80277601
< 0.1%
40000001
< 0.1%
33000001
< 0.1%
30000002
< 0.1%

H9A2
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02125996561
Minimum0
Maximum8
Zeros18835
Zeros (%)98.1%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:35.616926image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum8
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2046013083
Coefficient of variation (CV)9.623783598
Kurtosis857.7975674
Mean0.02125996561
Median Absolute Deviation (MAD)0
Skewness24.0019091
Sum408
Variance0.04186169536
MonotonicityNot monotonic
2022-08-24T10:14:35.701130image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
018835
98.1%
1348
 
1.8%
87
 
< 0.1%
41
 
< 0.1%
ValueCountFrequency (%)
018835
98.1%
1348
 
1.8%
41
 
< 0.1%
87
 
< 0.1%
ValueCountFrequency (%)
87
 
< 0.1%
41
 
< 0.1%
1348
 
1.8%
018835
98.1%

H9B
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005002344849
Minimum0
Maximum1
Zeros19095
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:35.812533image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07055197209
Coefficient of variation (CV)14.10378017
Kurtosis194.9623817
Mean0.005002344849
Median Absolute Deviation (MAD)0
Skewness14.0336048
Sum96
Variance0.004977580766
MonotonicityNot monotonic
2022-08-24T10:14:35.902293image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
019095
99.5%
196
 
0.5%
ValueCountFrequency (%)
019095
99.5%
196
 
0.5%
ValueCountFrequency (%)
196
 
0.5%
019095
99.5%

H9B1
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct43
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1592.220624
Minimum0
Maximum2673861
Zeros19106
Zeros (%)99.6%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:36.012997image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum2673861
Range2673861
Interquartile range (IQR)0

Descriptive statistics

Standard deviation39129.34888
Coefficient of variation (CV)24.57533101
Kurtosis2192.260686
Mean1592.220624
Median Absolute Deviation (MAD)0
Skewness42.16313091
Sum30556306
Variance1531105944
MonotonicityNot monotonic
2022-08-24T10:14:36.142932image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
019106
99.6%
20000010
 
0.1%
4000009
 
< 0.1%
1000006
 
< 0.1%
3000006
 
< 0.1%
2500003
 
< 0.1%
10000003
 
< 0.1%
250003
 
< 0.1%
6000003
 
< 0.1%
1500003
 
< 0.1%
Other values (33)39
 
0.2%
ValueCountFrequency (%)
019106
99.6%
20001
 
< 0.1%
30001
 
< 0.1%
100001
 
< 0.1%
180001
 
< 0.1%
ValueCountFrequency (%)
26738611
 
< 0.1%
20000001
 
< 0.1%
18000002
< 0.1%
16000001
 
< 0.1%
10000003
< 0.1%

H9B2
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.009535719869
Minimum0
Maximum8
Zeros19106
Zeros (%)99.6%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:36.254634image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum8
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2103689113
Coefficient of variation (CV)22.06114632
Kurtosis1127.540412
Mean0.009535719869
Median Absolute Deviation (MAD)0
Skewness31.95670268
Sum183
Variance0.04425507886
MonotonicityNot monotonic
2022-08-24T10:14:36.338409image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
019106
99.6%
164
 
0.3%
89
 
< 0.1%
37
 
< 0.1%
64
 
< 0.1%
21
 
< 0.1%
ValueCountFrequency (%)
019106
99.6%
164
 
0.3%
21
 
< 0.1%
37
 
< 0.1%
64
 
< 0.1%
ValueCountFrequency (%)
89
 
< 0.1%
64
 
< 0.1%
37
 
< 0.1%
21
 
< 0.1%
164
0.3%

H9C
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.001459017248
Minimum0
Maximum1
Zeros19163
Zeros (%)99.9%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:36.435150image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.0381702035
Coefficient of variation (CV)26.16158484
Kurtosis680.5719334
Mean0.001459017248
Median Absolute Deviation (MAD)0
Skewness26.12472023
Sum28
Variance0.001456964435
MonotonicityNot monotonic
2022-08-24T10:14:36.523074image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
019163
99.9%
128
 
0.1%
ValueCountFrequency (%)
019163
99.9%
128
 
0.1%
ValueCountFrequency (%)
128
 
0.1%
019163
99.9%

H9C1
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct18
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean507.0772758
Minimum0
Maximum1543800
Zeros19166
Zeros (%)99.9%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:36.628636image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1543800
Range1543800
Interquartile range (IQR)0

Descriptive statistics

Standard deviation20950.28093
Coefficient of variation (CV)41.31575586
Kurtosis3566.366312
Mean507.0772758
Median Absolute Deviation (MAD)0
Skewness56.16498927
Sum9731320
Variance438914270.9
MonotonicityNot monotonic
2022-08-24T10:14:36.748471image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
019166
99.9%
2000004
 
< 0.1%
6000002
 
< 0.1%
3000002
 
< 0.1%
200002
 
< 0.1%
1000002
 
< 0.1%
10000002
 
< 0.1%
500001
 
< 0.1%
6175201
 
< 0.1%
15000001
 
< 0.1%
Other values (8)8
 
< 0.1%
ValueCountFrequency (%)
019166
99.9%
150001
 
< 0.1%
200002
 
< 0.1%
500001
 
< 0.1%
700001
 
< 0.1%
ValueCountFrequency (%)
15438001
< 0.1%
15000001
< 0.1%
10000002
< 0.1%
6175201
< 0.1%
6000002
< 0.1%

H9C2
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005471314679
Minimum0
Maximum8
Zeros19166
Zeros (%)99.9%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:36.854188image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum8
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1948296663
Coefficient of variation (CV)35.60929643
Kurtosis1626.471866
Mean0.005471314679
Median Absolute Deviation (MAD)0
Skewness39.93570413
Sum105
Variance0.03795859885
MonotonicityNot monotonic
2022-08-24T10:14:36.940994image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
019166
99.9%
112
 
0.1%
811
 
0.1%
31
 
< 0.1%
21
 
< 0.1%
ValueCountFrequency (%)
019166
99.9%
112
 
0.1%
21
 
< 0.1%
31
 
< 0.1%
811
 
0.1%
ValueCountFrequency (%)
811
 
0.1%
31
 
< 0.1%
21
 
< 0.1%
112
 
0.1%
019166
99.9%

H9D
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008180918139
Minimum0
Maximum1
Zeros19034
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:37.039784image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.09008003964
Coefficient of variation (CV)11.01099389
Kurtosis117.2747822
Mean0.008180918139
Median Absolute Deviation (MAD)0
Skewness10.92073992
Sum157
Variance0.008114413541
MonotonicityNot monotonic
2022-08-24T10:14:37.126676image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
019034
99.2%
1157
 
0.8%
ValueCountFrequency (%)
019034
99.2%
1157
 
0.8%
ValueCountFrequency (%)
1157
 
0.8%
019034
99.2%

H9D1
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct59
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3039.789433
Minimum0
Maximum5000000
Zeros19040
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:37.242367image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum5000000
Range5000000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation66757.15385
Coefficient of variation (CV)21.96111123
Kurtosis2328.005069
Mean3039.789433
Median Absolute Deviation (MAD)0
Skewness41.8017214
Sum58336599
Variance4456517590
MonotonicityNot monotonic
2022-08-24T10:14:37.379962image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
019040
99.2%
20000017
 
0.1%
5000011
 
0.1%
30000011
 
0.1%
10000010
 
0.1%
5000008
 
< 0.1%
200005
 
< 0.1%
4000005
 
< 0.1%
300005
 
< 0.1%
7000004
 
< 0.1%
Other values (49)75
 
0.4%
ValueCountFrequency (%)
019040
99.2%
60001
 
< 0.1%
100002
 
< 0.1%
150002
 
< 0.1%
170001
 
< 0.1%
ValueCountFrequency (%)
50000001
< 0.1%
30000002
< 0.1%
25000001
< 0.1%
20000001
< 0.1%
18000001
< 0.1%

H9D2
Real number (ℝ≥0)

ZEROS

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.05783961232
Minimum0
Maximum8
Zeros19040
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:37.488672image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum8
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6740093392
Coefficient of variation (CV)11.65307498
Kurtosis134.6828397
Mean0.05783961232
Median Absolute Deviation (MAD)0
Skewness11.68314709
Sum1110
Variance0.4542885894
MonotonicityNot monotonic
2022-08-24T10:14:37.572387image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
019040
99.2%
8137
 
0.7%
114
 
0.1%
ValueCountFrequency (%)
019040
99.2%
114
 
0.1%
8137
 
0.7%
ValueCountFrequency (%)
8137
 
0.7%
114
 
0.1%
019040
99.2%

H9E
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02704392684
Minimum0
Maximum1
Zeros18672
Zeros (%)97.3%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:37.668129image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1622156713
Coefficient of variation (CV)5.998229187
Kurtosis32.01332698
Mean0.02704392684
Median Absolute Deviation (MAD)0
Skewness5.831808528
Sum519
Variance0.02631392402
MonotonicityNot monotonic
2022-08-24T10:14:37.756892image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
018672
97.3%
1519
 
2.7%
ValueCountFrequency (%)
018672
97.3%
1519
 
2.7%
ValueCountFrequency (%)
1519
 
2.7%
018672
97.3%

H9E1
Real number (ℝ≥0)

ZEROS

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2274.34735
Minimum0
Maximum300000
Zeros18672
Zeros (%)97.3%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:37.850641image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum300000
Range300000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation14083.55281
Coefficient of variation (CV)6.192349117
Kurtosis76.4290308
Mean2274.34735
Median Absolute Deviation (MAD)0
Skewness7.312248206
Sum43647000
Variance198346459.7
MonotonicityNot monotonic
2022-08-24T10:14:37.932422image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
018672
97.3%
82000514
 
2.7%
3000004
 
< 0.1%
2990001
 
< 0.1%
ValueCountFrequency (%)
018672
97.3%
82000514
 
2.7%
2990001
 
< 0.1%
3000004
 
< 0.1%
ValueCountFrequency (%)
3000004
 
< 0.1%
2990001
 
< 0.1%
82000514
 
2.7%
018672
97.3%

H9P
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02678338805
Minimum0
Maximum1
Zeros18677
Zeros (%)97.3%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:38.034150image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1614540073
Coefficient of variation (CV)6.028139795
Kurtosis32.37284275
Mean0.02678338805
Median Absolute Deviation (MAD)0
Skewness5.862547996
Sum514
Variance0.02606739648
MonotonicityNot monotonic
2022-08-24T10:14:38.121988image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
018677
97.3%
1514
 
2.7%
ValueCountFrequency (%)
018677
97.3%
1514
 
2.7%
ValueCountFrequency (%)
1514
 
2.7%
018677
97.3%

H9P1
Real number (ℝ≥0)

ZEROS

Distinct18
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2270.152676
Minimum0
Maximum300000
Zeros18677
Zeros (%)97.3%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:38.229701image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum300000
Range300000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation14096.49364
Coefficient of variation (CV)6.209491456
Kurtosis69.60974063
Mean2270.152676
Median Absolute Deviation (MAD)0
Skewness7.145150923
Sum43566500
Variance198711133.1
MonotonicityNot monotonic
2022-08-24T10:14:38.889540image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
018677
97.3%
82000463
 
2.4%
8000012
 
0.1%
850005
 
< 0.1%
825005
 
< 0.1%
840005
 
< 0.1%
830004
 
< 0.1%
780003
 
< 0.1%
1400003
 
< 0.1%
1600003
 
< 0.1%
Other values (8)11
 
0.1%
ValueCountFrequency (%)
018677
97.3%
780003
 
< 0.1%
8000012
 
0.1%
82000463
 
2.4%
825005
 
< 0.1%
ValueCountFrequency (%)
3000001
 
< 0.1%
2990002
< 0.1%
2980001
 
< 0.1%
1600003
< 0.1%
1500001
 
< 0.1%

H9F
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002657495701
Minimum0
Maximum1
Zeros19140
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:38.990846image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05148370163
Coefficient of variation (CV)19.37301408
Kurtosis371.3938503
Mean0.002657495701
Median Absolute Deviation (MAD)0
Skewness19.32240009
Sum51
Variance0.002650571533
MonotonicityNot monotonic
2022-08-24T10:14:39.087096image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
019140
99.7%
151
 
0.3%
ValueCountFrequency (%)
019140
99.7%
151
 
0.3%
ValueCountFrequency (%)
151
 
0.3%
019140
99.7%

H9F1
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct24
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean282.2677297
Minimum0
Maximum400000
Zeros19141
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:39.190302image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum400000
Range400000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation7492.459144
Coefficient of variation (CV)26.54380348
Kurtosis1776.118016
Mean282.2677297
Median Absolute Deviation (MAD)0
Skewness38.83906554
Sum5417000
Variance56136944.02
MonotonicityNot monotonic
2022-08-24T10:14:39.301006image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
019141
99.7%
300005
 
< 0.1%
750004
 
< 0.1%
820004
 
< 0.1%
180004
 
< 0.1%
1000003
 
< 0.1%
400003
 
< 0.1%
600003
 
< 0.1%
4000003
 
< 0.1%
800003
 
< 0.1%
Other values (14)18
 
0.1%
ValueCountFrequency (%)
019141
99.7%
180004
 
< 0.1%
300005
 
< 0.1%
400003
 
< 0.1%
480001
 
< 0.1%
ValueCountFrequency (%)
4000003
< 0.1%
3300001
 
< 0.1%
3000001
 
< 0.1%
2750001
 
< 0.1%
2200001
 
< 0.1%

H9F2
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.003334896566
Minimum0
Maximum8
Zeros19141
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:39.409715image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum8
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.09570956768
Coefficient of variation (CV)28.69941115
Kurtosis5106.905153
Mean0.003334896566
Median Absolute Deviation (MAD)0
Skewness63.61882528
Sum64
Variance0.009160321345
MonotonicityNot monotonic
2022-08-24T10:14:39.502711image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
019141
99.7%
148
 
0.3%
82
 
< 0.1%
ValueCountFrequency (%)
019141
99.7%
148
 
0.3%
82
 
< 0.1%
ValueCountFrequency (%)
82
 
< 0.1%
148
 
0.3%
019141
99.7%

H9G
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02970142254
Minimum0
Maximum1
Zeros18621
Zeros (%)97.0%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:39.596460image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1697667512
Coefficient of variation (CV)5.715778461
Kurtosis28.70682298
Mean0.02970142254
Median Absolute Deviation (MAD)0
Skewness5.541103797
Sum570
Variance0.02882074983
MonotonicityNot monotonic
2022-08-24T10:14:39.696415image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
018621
97.0%
1570
 
3.0%
ValueCountFrequency (%)
018621
97.0%
1570
 
3.0%
ValueCountFrequency (%)
1570
 
3.0%
018621
97.0%

H9G1
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct103
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3707.46996
Minimum0
Maximum1852560
Zeros18624
Zeros (%)97.0%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:39.822202image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1852560
Range1852560
Interquartile range (IQR)0

Descriptive statistics

Standard deviation32572.8007
Coefficient of variation (CV)8.785722082
Kurtosis1142.132622
Mean3707.46996
Median Absolute Deviation (MAD)0
Skewness25.64076842
Sum71150056
Variance1060987345
MonotonicityNot monotonic
2022-08-24T10:14:39.973911image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
018624
97.0%
8000062
 
0.3%
10000052
 
0.3%
6000042
 
0.2%
5000037
 
0.2%
7000029
 
0.2%
12000026
 
0.1%
4000026
 
0.1%
20000025
 
0.1%
15000021
 
0.1%
Other values (93)247
 
1.3%
ValueCountFrequency (%)
018624
97.0%
100001
 
< 0.1%
150001
 
< 0.1%
200003
 
< 0.1%
250005
 
< 0.1%
ValueCountFrequency (%)
18525601
< 0.1%
18000001
< 0.1%
9500001
< 0.1%
8000001
< 0.1%
7000001
< 0.1%

H9G2
Real number (ℝ≥0)

ZEROS

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.03162940962
Minimum0
Maximum8
Zeros18624
Zeros (%)97.0%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:40.110511image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum8
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2146049546
Coefficient of variation (CV)6.784981356
Kurtosis511.3059455
Mean0.03162940962
Median Absolute Deviation (MAD)0
Skewness16.42266503
Sum607
Variance0.04605528652
MonotonicityNot monotonic
2022-08-24T10:14:40.194286image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
018624
97.0%
1559
 
2.9%
85
 
< 0.1%
22
 
< 0.1%
41
 
< 0.1%
ValueCountFrequency (%)
018624
97.0%
1559
 
2.9%
22
 
< 0.1%
41
 
< 0.1%
85
 
< 0.1%
ValueCountFrequency (%)
85
 
< 0.1%
41
 
< 0.1%
22
 
< 0.1%
1559
 
2.9%
018624
97.0%

H9Q
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02313584493
Minimum0
Maximum1
Zeros18747
Zeros (%)97.7%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:40.286041image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1503388018
Coefficient of variation (CV)6.498089968
Kurtosis38.25693608
Mean0.02313584493
Median Absolute Deviation (MAD)0
Skewness6.34452119
Sum444
Variance0.02260175533
MonotonicityNot monotonic
2022-08-24T10:14:40.365828image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
018747
97.7%
1444
 
2.3%
ValueCountFrequency (%)
018747
97.7%
1444
 
2.3%
ValueCountFrequency (%)
1444
 
2.3%
018747
97.7%

H9Q1
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct97
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2984.039498
Minimum0
Maximum1818570
Zeros18750
Zeros (%)97.7%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:40.484511image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1818570
Range1818570
Interquartile range (IQR)0

Descriptive statistics

Standard deviation30306.32991
Coefficient of variation (CV)10.15614235
Kurtosis1458.083248
Mean2984.039498
Median Absolute Deviation (MAD)0
Skewness29.80013633
Sum57266702
Variance918473632.5
MonotonicityNot monotonic
2022-08-24T10:14:40.620147image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
018750
97.7%
8000048
 
0.3%
10000037
 
0.2%
6000033
 
0.2%
5000024
 
0.1%
12000022
 
0.1%
7000021
 
0.1%
20000019
 
0.1%
15000018
 
0.1%
4000014
 
0.1%
Other values (87)205
 
1.1%
ValueCountFrequency (%)
018750
97.7%
100001
 
< 0.1%
200001
 
< 0.1%
250003
 
< 0.1%
300003
 
< 0.1%
ValueCountFrequency (%)
18185701
< 0.1%
18000001
< 0.1%
9500001
< 0.1%
8000001
< 0.1%
7000001
< 0.1%

H9R
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01276640092
Minimum0
Maximum1
Zeros18946
Zeros (%)98.7%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:40.733431image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1122678792
Coefficient of variation (CV)8.794011711
Kurtosis73.36296887
Mean0.01276640092
Median Absolute Deviation (MAD)0
Skewness8.680744399
Sum245
Variance0.01260407669
MonotonicityNot monotonic
2022-08-24T10:14:40.824724image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
018946
98.7%
1245
 
1.3%
ValueCountFrequency (%)
018946
98.7%
1245
 
1.3%
ValueCountFrequency (%)
1245
 
1.3%
018946
98.7%

H9R1
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct65
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1441.036267
Minimum0
Maximum1818570
Zeros18948
Zeros (%)98.7%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:40.944408image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1818570
Range1818570
Interquartile range (IQR)0

Descriptive statistics

Standard deviation22721.93573
Coefficient of variation (CV)15.76777507
Kurtosis4210.604978
Mean1441.036267
Median Absolute Deviation (MAD)0
Skewness55.47063565
Sum27654927
Variance516286363.2
MonotonicityNot monotonic
2022-08-24T10:14:41.092013image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
018948
98.7%
8000027
 
0.1%
5000024
 
0.1%
10000022
 
0.1%
6000020
 
0.1%
4000014
 
0.1%
12000011
 
0.1%
15000011
 
0.1%
7000011
 
0.1%
2000007
 
< 0.1%
Other values (55)96
 
0.5%
ValueCountFrequency (%)
018948
98.7%
250002
 
< 0.1%
300002
 
< 0.1%
340002
 
< 0.1%
370001
 
< 0.1%
ValueCountFrequency (%)
18185701
 
< 0.1%
18000001
 
< 0.1%
5000001
 
< 0.1%
3300002
< 0.1%
3000003
< 0.1%

H9H
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.08957323746
Minimum0
Maximum1
Zeros17472
Zeros (%)91.0%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:41.212011image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2855768236
Coefficient of variation (CV)3.188193614
Kurtosis6.26437948
Mean0.08957323746
Median Absolute Deviation (MAD)0
Skewness2.874669832
Sum1719
Variance0.08155412219
MonotonicityNot monotonic
2022-08-24T10:14:41.291203image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
017472
91.0%
11719
 
9.0%
ValueCountFrequency (%)
017472
91.0%
11719
 
9.0%
ValueCountFrequency (%)
11719
 
9.0%
017472
91.0%

H9H1
Real number (ℝ≥0)

ZEROS

Distinct238
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31904.93434
Minimum0
Maximum5000000
Zeros17507
Zeros (%)91.2%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:41.399427image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile166000
Maximum5000000
Range5000000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation156787.9603
Coefficient of variation (CV)4.914222941
Kurtosis127.0144222
Mean31904.93434
Median Absolute Deviation (MAD)0
Skewness9.02411311
Sum612287595
Variance2.458246449 × 1010
MonotonicityNot monotonic
2022-08-24T10:14:41.534738image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
017507
91.2%
130000130
 
0.7%
20000077
 
0.4%
50000071
 
0.4%
30000062
 
0.3%
15000059
 
0.3%
60000059
 
0.3%
13600055
 
0.3%
13500051
 
0.3%
40000048
 
0.3%
Other values (228)1072
 
5.6%
ValueCountFrequency (%)
017507
91.2%
350002
 
< 0.1%
420001
 
< 0.1%
450004
 
< 0.1%
500002
 
< 0.1%
ValueCountFrequency (%)
50000001
< 0.1%
30000001
< 0.1%
27000001
< 0.1%
26200001
< 0.1%
26000001
< 0.1%

H9S
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.08806211245
Minimum0
Maximum1
Zeros17501
Zeros (%)91.2%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:41.646988image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2833925928
Coefficient of variation (CV)3.218098963
Kurtosis6.454181284
Mean0.08806211245
Median Absolute Deviation (MAD)0
Skewness2.907491818
Sum1690
Variance0.08031136164
MonotonicityNot monotonic
2022-08-24T10:14:41.729218image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
017501
91.2%
11690
 
8.8%
ValueCountFrequency (%)
017501
91.2%
11690
 
8.8%
ValueCountFrequency (%)
11690
 
8.8%
017501
91.2%

H9S1
Real number (ℝ≥0)

ZEROS

Distinct237
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31854.03705
Minimum0
Maximum5000000
Zeros17539
Zeros (%)91.4%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:41.840010image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile160000
Maximum5000000
Range5000000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation157538.2488
Coefficient of variation (CV)4.945628982
Kurtosis125.1818032
Mean31854.03705
Median Absolute Deviation (MAD)0
Skewness8.973204916
Sum611310825
Variance2.481829984 × 1010
MonotonicityNot monotonic
2022-08-24T10:14:41.980673image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
017539
91.4%
130000131
 
0.7%
20000074
 
0.4%
50000070
 
0.4%
15000063
 
0.3%
30000062
 
0.3%
60000055
 
0.3%
13600053
 
0.3%
40000051
 
0.3%
13500050
 
0.3%
Other values (227)1043
 
5.4%
ValueCountFrequency (%)
017539
91.4%
350002
 
< 0.1%
420001
 
< 0.1%
450004
 
< 0.1%
500001
 
< 0.1%
ValueCountFrequency (%)
50000001
< 0.1%
30000001
< 0.1%
27000001
< 0.1%
26200001
< 0.1%
26000001
< 0.1%

H9i
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002188525872
Minimum0
Maximum1
Zeros19149
Zeros (%)99.8%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:42.095363image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.04673168113
Coefficient of variation (CV)21.3530403
Kurtosis452.0488451
Mean0.002188525872
Median Absolute Deviation (MAD)0
Skewness21.30731646
Sum42
Variance0.002183850022
MonotonicityNot monotonic
2022-08-24T10:14:42.184125image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
019149
99.8%
142
 
0.2%
ValueCountFrequency (%)
019149
99.8%
142
 
0.2%
ValueCountFrequency (%)
142
 
0.2%
019149
99.8%

H9i1
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct28
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1367.639102
Minimum0
Maximum3087600
Zeros19155
Zeros (%)99.8%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:42.291837image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum3087600
Range3087600
Interquartile range (IQR)0

Descriptive statistics

Standard deviation43104.58698
Coefficient of variation (CV)31.51751579
Kurtosis2710.763622
Mean1367.639102
Median Absolute Deviation (MAD)0
Skewness47.1173628
Sum26246362
Variance1858005419
MonotonicityNot monotonic
2022-08-24T10:14:42.413542image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
019155
99.8%
9262805
 
< 0.1%
3087603
 
< 0.1%
10000002
 
< 0.1%
25000002
 
< 0.1%
3000002
 
< 0.1%
6200001
 
< 0.1%
6600001
 
< 0.1%
12000001
 
< 0.1%
7956001
 
< 0.1%
Other values (18)18
 
0.1%
ValueCountFrequency (%)
019155
99.8%
438001
 
< 0.1%
500001
 
< 0.1%
741021
 
< 0.1%
1852561
 
< 0.1%
ValueCountFrequency (%)
30876001
< 0.1%
25000002
< 0.1%
12000001
< 0.1%
11115361
< 0.1%
10000002
< 0.1%

H9i2
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002449064666
Minimum0
Maximum8
Zeros19155
Zeros (%)99.8%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:42.520385image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum8
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.0773738089
Coefficient of variation (CV)31.5932078
Kurtosis6229.316529
Mean0.002449064666
Median Absolute Deviation (MAD)0
Skewness67.29806199
Sum47
Variance0.005986706303
MonotonicityNot monotonic
2022-08-24T10:14:42.617551image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
019155
99.8%
133
 
0.2%
32
 
< 0.1%
81
 
< 0.1%
ValueCountFrequency (%)
019155
99.8%
133
 
0.2%
32
 
< 0.1%
81
 
< 0.1%
ValueCountFrequency (%)
81
 
< 0.1%
32
 
< 0.1%
133
 
0.2%
019155
99.8%

H9T
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0008858319004
Minimum0
Maximum1
Zeros19174
Zeros (%)99.9%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:42.719279image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.02975051802
Coefficient of variation (CV)33.58483478
Kurtosis1124.176422
Mean0.0008858319004
Median Absolute Deviation (MAD)0
Skewness33.55680655
Sum17
Variance0.0008850933224
MonotonicityNot monotonic
2022-08-24T10:14:42.806046image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
019174
99.9%
117
 
0.1%
ValueCountFrequency (%)
019174
99.9%
117
 
0.1%
ValueCountFrequency (%)
117
 
0.1%
019174
99.9%

H9T1
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct13
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean649.4470325
Minimum0
Maximum3030950
Zeros19178
Zeros (%)99.9%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:42.899058image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum3030950
Range3030950
Interquartile range (IQR)0

Descriptive statistics

Standard deviation35757.29337
Coefficient of variation (CV)55.05805952
Kurtosis5235.624025
Mean649.4470325
Median Absolute Deviation (MAD)0
Skewness69.85669943
Sum12463538
Variance1278584029
MonotonicityNot monotonic
2022-08-24T10:14:43.002781image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
019178
99.9%
25000002
 
< 0.1%
30309501
 
< 0.1%
3030951
 
< 0.1%
500001
 
< 0.1%
9092851
 
< 0.1%
1852561
 
< 0.1%
4000001
 
< 0.1%
4849521
 
< 0.1%
10000001
 
< 0.1%
Other values (3)3
 
< 0.1%
ValueCountFrequency (%)
019178
99.9%
500001
 
< 0.1%
1800001
 
< 0.1%
1852561
 
< 0.1%
3000001
 
< 0.1%
ValueCountFrequency (%)
30309501
< 0.1%
25000002
< 0.1%
10000001
< 0.1%
9092851
< 0.1%
6200001
< 0.1%

H9K
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002501172425
Minimum0
Maximum1
Zeros19143
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:43.106503image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.04995044116
Coefficient of variation (CV)19.97081076
Kurtosis394.9182041
Mean0.002501172425
Median Absolute Deviation (MAD)0
Skewness19.9217732
Sum48
Variance0.002495046572
MonotonicityNot monotonic
2022-08-24T10:14:43.197312image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
019143
99.7%
148
 
0.3%
ValueCountFrequency (%)
019143
99.7%
148
 
0.3%
ValueCountFrequency (%)
148
 
0.3%
019143
99.7%

H9L
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0288676984
Minimum0
Maximum1
Zeros18637
Zeros (%)97.1%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:43.288069image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1674389897
Coefficient of variation (CV)5.800219587
Kurtosis29.67856452
Mean0.0288676984
Median Absolute Deviation (MAD)0
Skewness5.62809662
Sum554
Variance0.02803581527
MonotonicityNot monotonic
2022-08-24T10:14:43.379056image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
018637
97.1%
1554
 
2.9%
ValueCountFrequency (%)
018637
97.1%
1554
 
2.9%
ValueCountFrequency (%)
1554
 
2.9%
018637
97.1%

H9L1
Real number (ℝ≥0)

ZEROS

Distinct62
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3018.524934
Minimum0
Maximum700000
Zeros18649
Zeros (%)97.2%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:43.499710image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum700000
Range700000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation25321.92391
Coefficient of variation (CV)8.3888404
Kurtosis238.4966443
Mean3018.524934
Median Absolute Deviation (MAD)0
Skewness13.53552226
Sum57928512
Variance641199830.6
MonotonicityNot monotonic
2022-08-24T10:14:43.643326image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
018649
97.2%
10000079
 
0.4%
5000069
 
0.4%
8000031
 
0.2%
4000029
 
0.2%
15000028
 
0.1%
20000026
 
0.1%
3000026
 
0.1%
2000026
 
0.1%
6000024
 
0.1%
Other values (52)204
 
1.1%
ValueCountFrequency (%)
018649
97.2%
50002
 
< 0.1%
1000018
 
0.1%
1500014
 
0.1%
190002
 
< 0.1%
ValueCountFrequency (%)
7000002
 
< 0.1%
6500001
 
< 0.1%
6000002
 
< 0.1%
5000005
< 0.1%
4800001
 
< 0.1%

H9L2
Real number (ℝ≥0)

ZEROS

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.03110833203
Minimum0
Maximum8
Zeros18649
Zeros (%)97.2%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:43.769987image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum8
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2206660444
Coefficient of variation (CV)7.093470785
Kurtosis494.3761033
Mean0.03110833203
Median Absolute Deviation (MAD)0
Skewness16.67134644
Sum597
Variance0.04869350317
MonotonicityNot monotonic
2022-08-24T10:14:43.867727image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
018649
97.2%
1527
 
2.7%
25
 
< 0.1%
85
 
< 0.1%
42
 
< 0.1%
32
 
< 0.1%
61
 
< 0.1%
ValueCountFrequency (%)
018649
97.2%
1527
 
2.7%
25
 
< 0.1%
32
 
< 0.1%
42
 
< 0.1%
ValueCountFrequency (%)
85
< 0.1%
61
 
< 0.1%
42
 
< 0.1%
32
 
< 0.1%
25
< 0.1%

H9M
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.00406440519
Minimum0
Maximum1
Zeros19113
Zeros (%)99.6%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:43.971447image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.06362465511
Coefficient of variation (CV)15.65411226
Kurtosis241.105668
Mean0.00406440519
Median Absolute Deviation (MAD)0
Skewness15.59104041
Sum78
Variance0.004048096738
MonotonicityNot monotonic
2022-08-24T10:14:44.063498image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
019113
99.6%
178
 
0.4%
ValueCountFrequency (%)
019113
99.6%
178
 
0.4%
ValueCountFrequency (%)
178
 
0.4%
019113
99.6%

H9M2
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005679745714
Minimum0
Maximum8
Zeros19114
Zeros (%)99.6%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:44.158249image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum8
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1238560806
Coefficient of variation (CV)21.80662424
Kurtosis2276.861664
Mean0.005679745714
Median Absolute Deviation (MAD)0
Skewness41.69234224
Sum109
Variance0.0153403287
MonotonicityNot monotonic
2022-08-24T10:14:44.248757image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
019114
99.6%
168
 
0.4%
33
 
< 0.1%
82
 
< 0.1%
42
 
< 0.1%
61
 
< 0.1%
21
 
< 0.1%
ValueCountFrequency (%)
019114
99.6%
168
 
0.4%
21
 
< 0.1%
33
 
< 0.1%
42
 
< 0.1%
ValueCountFrequency (%)
82
< 0.1%
61
 
< 0.1%
42
< 0.1%
33
< 0.1%
21
 
< 0.1%

H10A
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01855036215
Minimum0
Maximum1
Zeros18835
Zeros (%)98.1%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:44.353477image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1349340393
Coefficient of variation (CV)7.273930189
Kurtosis48.93926663
Mean0.01855036215
Median Absolute Deviation (MAD)0
Skewness7.136817667
Sum356
Variance0.01820719495
MonotonicityNot monotonic
2022-08-24T10:14:44.449256image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
018835
98.1%
1356
 
1.9%
ValueCountFrequency (%)
018835
98.1%
1356
 
1.9%
ValueCountFrequency (%)
1356
 
1.9%
018835
98.1%

H10C
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct73
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1564.334584
Minimum0
Maximum962000
Zeros18838
Zeros (%)98.2%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:44.587129image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum962000
Range962000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation17962.34556
Coefficient of variation (CV)11.48241926
Kurtosis796.453428
Mean1564.334584
Median Absolute Deviation (MAD)0
Skewness23.07504308
Sum30021145
Variance322645858
MonotonicityNot monotonic
2022-08-24T10:14:44.740349image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
018838
98.2%
5000042
 
0.2%
3000037
 
0.2%
10000031
 
0.2%
2000020
 
0.1%
4000020
 
0.1%
6000019
 
0.1%
20000018
 
0.1%
15000017
 
0.1%
1500015
 
0.1%
Other values (63)134
 
0.7%
ValueCountFrequency (%)
018838
98.2%
30001
 
< 0.1%
50003
 
< 0.1%
70001
 
< 0.1%
80001
 
< 0.1%
ValueCountFrequency (%)
9620001
< 0.1%
7000001
< 0.1%
6000001
< 0.1%
5500001
< 0.1%
4500001
< 0.1%

H10C1
Real number (ℝ≥0)

ZEROS

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01891511646
Minimum0
Maximum4
Zeros18838
Zeros (%)98.2%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:44.859612image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum4
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.141482844
Coefficient of variation (CV)7.479882255
Kurtosis91.67186735
Mean0.01891511646
Median Absolute Deviation (MAD)0
Skewness8.374123524
Sum363
Variance0.02001739514
MonotonicityNot monotonic
2022-08-24T10:14:44.955451image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
018838
98.2%
1346
 
1.8%
25
 
< 0.1%
31
 
< 0.1%
41
 
< 0.1%
ValueCountFrequency (%)
018838
98.2%
1346
 
1.8%
25
 
< 0.1%
31
 
< 0.1%
41
 
< 0.1%
ValueCountFrequency (%)
41
 
< 0.1%
31
 
< 0.1%
25
 
< 0.1%
1346
 
1.8%
018838
98.2%

M1
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1000990047
Minimum0
Maximum1
Zeros17270
Zeros (%)90.0%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:45.056181image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3001397809
Coefficient of variation (CV)2.998429222
Kurtosis5.102984729
Mean0.1000990047
Median Absolute Deviation (MAD)0
Skewness2.665042763
Sum1921
Variance0.09008388806
MonotonicityNot monotonic
2022-08-24T10:14:45.140954image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
017270
90.0%
11921
 
10.0%
ValueCountFrequency (%)
017270
90.0%
11921
 
10.0%
ValueCountFrequency (%)
11921
 
10.0%
017270
90.0%

M2A
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3946120577
Minimum0
Maximum1
Zeros11618
Zeros (%)60.5%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:45.224779image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4887799407
Coefficient of variation (CV)1.238634074
Kurtosis-1.814192216
Mean0.3946120577
Median Absolute Deviation (MAD)0
Skewness0.4312735351
Sum7573
Variance0.2389058305
MonotonicityNot monotonic
2022-08-24T10:14:45.304568image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
011618
60.5%
17573
39.5%
ValueCountFrequency (%)
011618
60.5%
17573
39.5%
ValueCountFrequency (%)
17573
39.5%
011618
60.5%

M2B
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4019592517
Minimum0
Maximum1
Zeros11477
Zeros (%)59.8%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:45.386298image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4903065759
Coefficient of variation (CV)1.219791742
Kurtosis-1.840225559
Mean0.4019592517
Median Absolute Deviation (MAD)0
Skewness0.3999577877
Sum7714
Variance0.2404005384
MonotonicityNot monotonic
2022-08-24T10:14:45.466084image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
011477
59.8%
17714
40.2%
ValueCountFrequency (%)
011477
59.8%
17714
40.2%
ValueCountFrequency (%)
17714
40.2%
011477
59.8%

M2C
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.09389818144
Minimum0
Maximum1
Zeros17389
Zeros (%)90.6%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:45.547971image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2916946119
Coefficient of variation (CV)3.106499055
Kurtosis5.755274242
Mean0.09389818144
Median Absolute Deviation (MAD)0
Skewness2.784721613
Sum1802
Variance0.08508574659
MonotonicityNot monotonic
2022-08-24T10:14:45.631803image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
017389
90.6%
11802
 
9.4%
ValueCountFrequency (%)
017389
90.6%
11802
 
9.4%
ValueCountFrequency (%)
11802
 
9.4%
017389
90.6%

M7E
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.07321140118
Minimum0
Maximum1
Zeros17786
Zeros (%)92.7%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:45.721530image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2604899762
Coefficient of variation (CV)3.558052052
Kurtosis8.740659193
Mean0.07321140118
Median Absolute Deviation (MAD)0
Skewness3.277155518
Sum1405
Variance0.06785502769
MonotonicityNot monotonic
2022-08-24T10:14:45.805120image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
017786
92.7%
11405
 
7.3%
ValueCountFrequency (%)
017786
92.7%
11405
 
7.3%
ValueCountFrequency (%)
11405
 
7.3%
017786
92.7%

spif
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct45
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4130.844667
Minimum0
Maximum3500000
Zeros19062
Zeros (%)99.3%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:45.913341image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum3500000
Range3500000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation65782.80625
Coefficient of variation (CV)15.92478332
Kurtosis823.347078
Mean4130.844667
Median Absolute Deviation (MAD)0
Skewness24.80967596
Sum79275040
Variance4327377598
MonotonicityNot monotonic
2022-08-24T10:14:46.048280image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
019062
99.3%
30000014
 
0.1%
50000011
 
0.1%
20000010
 
0.1%
4000009
 
< 0.1%
6000009
 
< 0.1%
3500006
 
< 0.1%
4500006
 
< 0.1%
8000005
 
< 0.1%
15000005
 
< 0.1%
Other values (35)54
 
0.3%
ValueCountFrequency (%)
019062
99.3%
500001
 
< 0.1%
600001
 
< 0.1%
750001
 
< 0.1%
1300001
 
< 0.1%
ValueCountFrequency (%)
35000001
 
< 0.1%
21650001
 
< 0.1%
20000003
< 0.1%
18525601
 
< 0.1%
18000002
< 0.1%

gpif
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct46
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1998.90122
Minimum0
Maximum1500000
Zeros19082
Zeros (%)99.4%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:46.194014image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1500000
Range1500000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation34619.71016
Coefficient of variation (CV)17.31937017
Kurtosis781.3836572
Mean1998.90122
Median Absolute Deviation (MAD)0
Skewness25.09565907
Sum38360913.31
Variance1198524332
MonotonicityNot monotonic
2022-08-24T10:14:46.333637image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
019082
99.4%
30000019
 
0.1%
5000009
 
< 0.1%
2000008
 
< 0.1%
1000007
 
< 0.1%
2500006
 
< 0.1%
1500006
 
< 0.1%
10000005
 
< 0.1%
4000005
 
< 0.1%
3500003
 
< 0.1%
Other values (36)41
 
0.2%
ValueCountFrequency (%)
019082
99.4%
100001
 
< 0.1%
200001
 
< 0.1%
300001
 
< 0.1%
380001
 
< 0.1%
ValueCountFrequency (%)
15000002
 
< 0.1%
12350401
 
< 0.1%
11000001
 
< 0.1%
10000005
< 0.1%
9000001
 
< 0.1%

dif
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct29
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean384.9299718
Minimum0
Maximum2916666.667
Zeros19145
Zeros (%)99.8%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:46.468157image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum2916666.667
Range2916666.667
Interquartile range (IQR)0

Descriptive statistics

Standard deviation22417.74519
Coefficient of variation (CV)58.23850267
Kurtosis14982.23535
Mean384.9299718
Median Absolute Deviation (MAD)0
Skewness117.0419168
Sum7387191.09
Variance502555299.5
MonotonicityNot monotonic
2022-08-24T10:14:46.588834image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
019145
99.8%
20833.333334
 
< 0.1%
250003
 
< 0.1%
83333.333333
 
< 0.1%
375003
 
< 0.1%
16666.666672
 
< 0.1%
500002
 
< 0.1%
1500002
 
< 0.1%
10416.666672
 
< 0.1%
52083.333332
 
< 0.1%
Other values (19)23
 
0.1%
ValueCountFrequency (%)
019145
99.8%
10416.666672
 
< 0.1%
125002
 
< 0.1%
14583.333331
 
< 0.1%
16666.666672
 
< 0.1%
ValueCountFrequency (%)
2916666.6671
< 0.1%
666666.66671
< 0.1%
5000001
< 0.1%
291666.66671
< 0.1%
208214.28572
< 0.1%

gpina
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct222
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24190.51851
Minimum0
Maximum30000000
Zeros17695
Zeros (%)92.2%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:46.731013image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile100000
Maximum30000000
Range30000000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation269750.6827
Coefficient of variation (CV)11.15109139
Kurtosis8062.873475
Mean24190.51851
Median Absolute Deviation (MAD)0
Skewness76.61188958
Sum464240240.8
Variance7.276543083 × 1010
MonotonicityNot monotonic
2022-08-24T10:14:46.881615image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
017695
92.2%
200000110
 
0.6%
30000090
 
0.5%
10000086
 
0.4%
40000081
 
0.4%
15000081
 
0.4%
25000065
 
0.3%
50000054
 
0.3%
5000054
 
0.3%
2000043
 
0.2%
Other values (212)832
 
4.3%
ValueCountFrequency (%)
017695
92.2%
15001
 
< 0.1%
20001
 
< 0.1%
30001
 
< 0.1%
40002
 
< 0.1%
ValueCountFrequency (%)
300000001
 
< 0.1%
90000001
 
< 0.1%
65000001
 
< 0.1%
50000005
< 0.1%
35000001
 
< 0.1%

inmpina
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct54
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean457.7852237
Minimum0
Maximum750000
Zeros19029
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:47.026950image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum750000
Range750000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation10017.9594
Coefficient of variation (CV)21.88353594
Kurtosis2353.228516
Mean457.7852237
Median Absolute Deviation (MAD)0
Skewness42.08025173
Sum8785356.228
Variance100359510.4
MonotonicityNot monotonic
2022-08-24T10:14:47.176712image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
019029
99.2%
1000021
 
0.1%
2000016
 
0.1%
500012
 
0.1%
10000011
 
0.1%
150009
 
< 0.1%
300008
 
< 0.1%
500007
 
< 0.1%
250006
 
< 0.1%
3000004
 
< 0.1%
Other values (44)68
 
0.4%
ValueCountFrequency (%)
019029
99.2%
10001
 
< 0.1%
15001
 
< 0.1%
18001
 
< 0.1%
20004
 
< 0.1%
ValueCountFrequency (%)
7500001
 
< 0.1%
5000001
 
< 0.1%
4000001
 
< 0.1%
3200001
 
< 0.1%
3000004
< 0.1%

gpsfi
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.61857121
Minimum0
Maximum216500
Zeros19185
Zeros (%)> 99.9%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:47.297513image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum216500
Range216500
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1659.762968
Coefficient of variation (CV)84.60162318
Kurtosis15153.76501
Mean19.61857121
Median Absolute Deviation (MAD)0
Skewness118.4116845
Sum376500
Variance2754813.111
MonotonicityNot monotonic
2022-08-24T10:14:47.387985image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
019185
> 99.9%
300002
 
< 0.1%
100001
 
< 0.1%
2165001
 
< 0.1%
400001
 
< 0.1%
500001
 
< 0.1%
ValueCountFrequency (%)
019185
> 99.9%
100001
 
< 0.1%
300002
 
< 0.1%
400001
 
< 0.1%
500001
 
< 0.1%
ValueCountFrequency (%)
2165001
< 0.1%
500001
< 0.1%
400001
< 0.1%
300002
< 0.1%
100001
< 0.1%

gpia
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct88
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2744.878567
Minimum0
Maximum4762000
Zeros18968
Zeros (%)98.8%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:47.503508image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum4762000
Range4762000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation49331.37872
Coefficient of variation (CV)17.97215342
Kurtosis4725.082879
Mean2744.878567
Median Absolute Deviation (MAD)0
Skewness55.8991414
Sum52676964.58
Variance2433584926
MonotonicityNot monotonic
2022-08-24T10:14:48.329287image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
018968
98.8%
20000023
 
0.1%
10000019
 
0.1%
30000014
 
0.1%
5000011
 
0.1%
25000010
 
0.1%
8000010
 
0.1%
1500008
 
< 0.1%
1200008
 
< 0.1%
300006
 
< 0.1%
Other values (78)114
 
0.6%
ValueCountFrequency (%)
018968
98.8%
12501
 
< 0.1%
40001
 
< 0.1%
80001
 
< 0.1%
90001
 
< 0.1%
ValueCountFrequency (%)
47620001
< 0.1%
16650001
< 0.1%
15000001
< 0.1%
12500001
< 0.1%
12000001
< 0.1%

inmpia
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct43
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean96.73765136
Minimum0
Maximum150000
Zeros19078
Zeros (%)99.4%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:48.478266image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum150000
Range150000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2029.298128
Coefficient of variation (CV)20.97733509
Kurtosis2234.146652
Mean96.73765136
Median Absolute Deviation (MAD)0
Skewness40.27991891
Sum1856492.267
Variance4118050.893
MonotonicityNot monotonic
2022-08-24T10:14:48.611910image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
019078
99.4%
1000020
 
0.1%
2000013
 
0.1%
500012
 
0.1%
150005
 
< 0.1%
40005
 
< 0.1%
80004
 
< 0.1%
400004
 
< 0.1%
500004
 
< 0.1%
30004
 
< 0.1%
Other values (33)42
 
0.2%
ValueCountFrequency (%)
019078
99.4%
166.66666671
 
< 0.1%
10001
 
< 0.1%
12501
 
< 0.1%
16001
 
< 0.1%
ValueCountFrequency (%)
1500001
 
< 0.1%
1000001
 
< 0.1%
900001
 
< 0.1%
600001
 
< 0.1%
500004
< 0.1%

spmb
Real number (ℝ≥0)

ZEROS

Distinct711
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean156498.4308
Minimum0
Maximum8200000
Zeros13325
Zeros (%)69.4%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:48.764058image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3200000
95-th percentile800000
Maximum8200000
Range8200000
Interquartile range (IQR)200000

Descriptive statistics

Standard deviation361992.932
Coefficient of variation (CV)2.313077071
Kurtosis42.82778255
Mean156498.4308
Median Absolute Deviation (MAD)0
Skewness4.849346906
Sum3003361385
Variance1.310388828 × 1011
MonotonicityNot monotonic
2022-08-24T10:14:48.902704image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
013325
69.4%
300000298
 
1.6%
400000253
 
1.3%
350000250
 
1.3%
500000179
 
0.9%
450000176
 
0.9%
600000158
 
0.8%
200000157
 
0.8%
320000130
 
0.7%
1000000128
 
0.7%
Other values (701)4137
 
21.6%
ValueCountFrequency (%)
013325
69.4%
20001
 
< 0.1%
30001
 
< 0.1%
40002
 
< 0.1%
50003
 
< 0.1%
ValueCountFrequency (%)
82000001
 
< 0.1%
60000001
 
< 0.1%
50000001
 
< 0.1%
49401601
 
< 0.1%
45000004
< 0.1%

spmn
Real number (ℝ≥0)

ZEROS

Distinct783
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean138707.2149
Minimum0
Maximum7339000
Zeros13325
Zeros (%)69.4%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:49.047317image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3200000
95-th percentile716000
Maximum7339000
Range7339000
Interquartile range (IQR)200000

Descriptive statistics

Standard deviation307821.1374
Coefficient of variation (CV)2.219215039
Kurtosis39.19008655
Mean138707.2149
Median Absolute Deviation (MAD)0
Skewness4.451876502
Sum2661930161
Variance9.475385261 × 1010
MonotonicityNot monotonic
2022-08-24T10:14:49.208336image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
013325
69.4%
268500231
 
1.2%
313250226
 
1.2%
358000217
 
1.1%
447500165
 
0.9%
402750164
 
0.9%
537000152
 
0.8%
286400110
 
0.6%
626500107
 
0.6%
200000104
 
0.5%
Other values (773)4390
 
22.9%
ValueCountFrequency (%)
013325
69.4%
20001
 
< 0.1%
30001
 
< 0.1%
40002
 
< 0.1%
50003
 
< 0.1%
ValueCountFrequency (%)
73390001
< 0.1%
49401601
< 0.1%
43413001
< 0.1%
36963001
< 0.1%
35800002
< 0.1%

ipsp
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct26
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean91.73703198
Minimum0
Maximum350000
Zeros19146
Zeros (%)99.8%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:49.335201image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum350000
Range350000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3473.293037
Coefficient of variation (CV)37.86140626
Kurtosis6035.138048
Mean91.73703198
Median Absolute Deviation (MAD)0
Skewness69.44397699
Sum1760525.381
Variance12063764.52
MonotonicityNot monotonic
2022-08-24T10:14:49.441915image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
019146
99.8%
100005
 
< 0.1%
50005
 
< 0.1%
250004
 
< 0.1%
200004
 
< 0.1%
300003
 
< 0.1%
500003
 
< 0.1%
150002
 
< 0.1%
1000002
 
< 0.1%
3500001
 
< 0.1%
Other values (16)16
 
0.1%
ValueCountFrequency (%)
019146
99.8%
6171
 
< 0.1%
10001
 
< 0.1%
20001
 
< 0.1%
30001
 
< 0.1%
ValueCountFrequency (%)
3500001
< 0.1%
1800001
< 0.1%
1500001
< 0.1%
1000002
< 0.1%
900001
< 0.1%

sesp
Real number (ℝ≥0)

ZEROS

Distinct171
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3853.005265
Minimum0
Maximum458333.3333
Zeros18049
Zeros (%)94.0%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:49.583539image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile26666.66667
Maximum458333.3333
Range458333.3333
Interquartile range (IQR)0

Descriptive statistics

Standard deviation19117.68549
Coefficient of variation (CV)4.961759504
Kurtosis90.48917515
Mean3853.005265
Median Absolute Deviation (MAD)0
Skewness7.759255532
Sum73943024.05
Variance365485898.7
MonotonicityNot monotonic
2022-08-24T10:14:49.717227image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
018049
94.0%
66666.6666766
 
0.3%
58333.3333364
 
0.3%
41666.6666761
 
0.3%
83333.3333361
 
0.3%
5000059
 
0.3%
33333.3333353
 
0.3%
10000053
 
0.3%
2500043
 
0.2%
7500034
 
0.2%
Other values (161)648
 
3.4%
ValueCountFrequency (%)
018049
94.0%
2666.6666671
 
< 0.1%
4166.6666671
 
< 0.1%
8333.3333338
 
< 0.1%
87501
 
< 0.1%
ValueCountFrequency (%)
458333.33331
 
< 0.1%
3750003
< 0.1%
333333.33332
< 0.1%
316666.66671
 
< 0.1%
291666.66672
< 0.1%

bsp
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct48
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean401.2794361
Minimum0
Maximum1010316.667
Zeros19102
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:49.856145image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1010316.667
Range1010316.667
Interquartile range (IQR)0

Descriptive statistics

Standard deviation11658.66617
Coefficient of variation (CV)29.05373444
Kurtosis4155.48765
Mean401.2794361
Median Absolute Deviation (MAD)0
Skewness57.61368705
Sum7700953.657
Variance135924496.9
MonotonicityNot monotonic
2022-08-24T10:14:50.001798image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
019102
99.5%
83333.3333312
 
0.1%
16666.666676
 
< 0.1%
33333.333335
 
< 0.1%
4166.6666674
 
< 0.1%
166666.66674
 
< 0.1%
500003
 
< 0.1%
100003
 
< 0.1%
15154.753
 
< 0.1%
1000003
 
< 0.1%
Other values (38)46
 
0.2%
ValueCountFrequency (%)
019102
99.5%
2083.3333331
 
< 0.1%
3333.3333331
 
< 0.1%
4166.6666674
 
< 0.1%
50001
 
< 0.1%
ValueCountFrequency (%)
1010316.6671
< 0.1%
7500001
< 0.1%
533333.33331
< 0.1%
333333.33332
< 0.1%
2250001
< 0.1%

oisp
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct15
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean98.27288833
Minimum0
Maximum1000000
Zeros19175
Zeros (%)99.9%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:50.124856image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1000000
Range1000000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation7773.132631
Coefficient of variation (CV)79.0974272
Kurtosis14489.95218
Mean98.27288833
Median Absolute Deviation (MAD)0
Skewness116.0915752
Sum1885955
Variance60421590.9
MonotonicityNot monotonic
2022-08-24T10:14:50.224081image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
019175
99.9%
250002
 
< 0.1%
16666.666672
 
< 0.1%
50001
 
< 0.1%
3500001
 
< 0.1%
41666.666671
 
< 0.1%
600001
 
< 0.1%
1666.6666671
 
< 0.1%
300001
 
< 0.1%
312501
 
< 0.1%
Other values (5)5
 
< 0.1%
ValueCountFrequency (%)
019175
99.9%
1666.6666671
 
< 0.1%
50001
 
< 0.1%
14583.333331
 
< 0.1%
16666.666672
 
< 0.1%
ValueCountFrequency (%)
10000001
< 0.1%
3500001
< 0.1%
1400001
< 0.1%
700001
< 0.1%
600001
< 0.1%

spnma
Real number (ℝ≥0)

ZEROS

Distinct117
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1640.066024
Minimum0
Maximum400000
Zeros18684
Zeros (%)97.4%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:50.345273image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum400000
Range400000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation13128.04992
Coefficient of variation (CV)8.004586237
Kurtosis182.5108467
Mean1640.066024
Median Absolute Deviation (MAD)0
Skewness11.72117653
Sum31474507.07
Variance172345694.8
MonotonicityNot monotonic
2022-08-24T10:14:50.477539image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
018684
97.4%
2000045
 
0.2%
5000041
 
0.2%
10000040
 
0.2%
3000033
 
0.2%
6000025
 
0.1%
4000024
 
0.1%
1000015
 
0.1%
2500015
 
0.1%
8000012
 
0.1%
Other values (107)257
 
1.3%
ValueCountFrequency (%)
018684
97.4%
20001
 
< 0.1%
30002
 
< 0.1%
40003
 
< 0.1%
500011
 
0.1%
ValueCountFrequency (%)
4000001
 
< 0.1%
3000003
< 0.1%
2576351
 
< 0.1%
2500001
 
< 0.1%
2338201
 
< 0.1%

spnmv
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct24
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean533.233078
Minimum0
Maximum617520
Zeros19093
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:50.602770image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum617520
Range617520
Interquartile range (IQR)0

Descriptive statistics

Standard deviation9520.626081
Coefficient of variation (CV)17.85453017
Kurtosis1358.072271
Mean533.233078
Median Absolute Deviation (MAD)0
Skewness30.47620307
Sum10233276
Variance90642320.98
MonotonicityNot monotonic
2022-08-24T10:14:50.702031image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
019093
99.5%
10000016
 
0.1%
5000015
 
0.1%
8000013
 
0.1%
600008
 
< 0.1%
1500007
 
< 0.1%
400006
 
< 0.1%
2000005
 
< 0.1%
1200004
 
< 0.1%
700004
 
< 0.1%
Other values (14)20
 
0.1%
ValueCountFrequency (%)
019093
99.5%
300002
 
< 0.1%
350002
 
< 0.1%
400006
 
< 0.1%
450001
 
< 0.1%
ValueCountFrequency (%)
6175201
 
< 0.1%
4000001
 
< 0.1%
3500001
 
< 0.1%
2500003
< 0.1%
2000005
< 0.1%

spnmt
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct67
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean468.8614014
Minimum0
Maximum350000
Zeros19029
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:50.835111image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum350000
Range350000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation7451.564597
Coefficient of variation (CV)15.89289409
Kurtosis785.3694112
Mean468.8614014
Median Absolute Deviation (MAD)0
Skewness24.85709494
Sum8997919.153
Variance55525814.94
MonotonicityNot monotonic
2022-08-24T10:14:50.976727image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
019029
99.2%
2000016
 
0.1%
3000011
 
0.1%
10000010
 
0.1%
400009
 
< 0.1%
100008
 
< 0.1%
800008
 
< 0.1%
50006
 
< 0.1%
600005
 
< 0.1%
250005
 
< 0.1%
Other values (57)84
 
0.4%
ValueCountFrequency (%)
019029
99.2%
20001
 
< 0.1%
25001
 
< 0.1%
50006
 
< 0.1%
51601
 
< 0.1%
ValueCountFrequency (%)
3500001
< 0.1%
3000001
< 0.1%
2600001
< 0.1%
2500001
< 0.1%
2400001
< 0.1%

spnmvh
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct15
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean144.4253383
Minimum0
Maximum525000
Zeros19171
Zeros (%)99.9%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:51.103814image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum525000
Range525000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation6206.463704
Coefficient of variation (CV)42.9735099
Kurtosis5014.660635
Mean144.4253383
Median Absolute Deviation (MAD)0
Skewness65.23348487
Sum2771666.667
Variance38520191.71
MonotonicityNot monotonic
2022-08-24T10:14:51.208740image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
019171
99.9%
1500003
 
< 0.1%
1000003
 
< 0.1%
650002
 
< 0.1%
800002
 
< 0.1%
1200001
 
< 0.1%
106666.66671
 
< 0.1%
350001
 
< 0.1%
200001
 
< 0.1%
400001
 
< 0.1%
Other values (5)5
 
< 0.1%
ValueCountFrequency (%)
019171
99.9%
200001
 
< 0.1%
250001
 
< 0.1%
350001
 
< 0.1%
400001
 
< 0.1%
ValueCountFrequency (%)
5250001
 
< 0.1%
5000001
 
< 0.1%
2000001
 
< 0.1%
1600001
 
< 0.1%
1500003
< 0.1%

spnmo
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct17
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean44.08264291
Minimum0
Maximum90000
Zeros19162
Zeros (%)99.8%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:51.309113image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum90000
Range90000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1368.120368
Coefficient of variation (CV)31.03535264
Kurtosis1936.280644
Mean44.08264291
Median Absolute Deviation (MAD)0
Skewness40.30416881
Sum845990
Variance1871753.342
MonotonicityNot monotonic
2022-08-24T10:14:51.398456image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
019162
99.8%
200006
 
< 0.1%
300004
 
< 0.1%
150003
 
< 0.1%
500003
 
< 0.1%
50002
 
< 0.1%
225001
 
< 0.1%
480001
 
< 0.1%
129901
 
< 0.1%
730001
 
< 0.1%
Other values (7)7
 
< 0.1%
ValueCountFrequency (%)
019162
99.8%
35001
 
< 0.1%
50002
 
< 0.1%
100001
 
< 0.1%
129901
 
< 0.1%
ValueCountFrequency (%)
900001
 
< 0.1%
730001
 
< 0.1%
500003
< 0.1%
480001
 
< 0.1%
450001
 
< 0.1%

ssif
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean119.8478453
Minimum0
Maximum800000
Zeros19185
Zeros (%)> 99.9%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:51.486496image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum800000
Range800000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation7807.361306
Coefficient of variation (CV)65.14394384
Kurtosis6957.836141
Mean119.8478453
Median Absolute Deviation (MAD)0
Skewness78.69229601
Sum2300000
Variance60954890.57
MonotonicityNot monotonic
2022-08-24T10:14:51.573041image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
019185
> 99.9%
3000003
 
< 0.1%
1000001
 
< 0.1%
8000001
 
< 0.1%
5000001
 
< 0.1%
ValueCountFrequency (%)
019185
> 99.9%
1000001
 
< 0.1%
3000003
 
< 0.1%
5000001
 
< 0.1%
8000001
 
< 0.1%
ValueCountFrequency (%)
8000001
 
< 0.1%
5000001
 
< 0.1%
3000003
 
< 0.1%
1000001
 
< 0.1%
019185
> 99.9%

gpsif
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean72.95086238
Minimum0
Maximum400000
Zeros19185
Zeros (%)> 99.9%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:51.676067image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum400000
Range400000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4536.332793
Coefficient of variation (CV)62.18340187
Kurtosis5274.807745
Mean72.95086238
Median Absolute Deviation (MAD)0
Skewness70.15602144
Sum1400000
Variance20578315.21
MonotonicityNot monotonic
2022-08-24T10:14:51.763295image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
019185
> 99.9%
3000002
 
< 0.1%
1500002
 
< 0.1%
1000001
 
< 0.1%
4000001
 
< 0.1%
ValueCountFrequency (%)
019185
> 99.9%
1000001
 
< 0.1%
1500002
 
< 0.1%
3000002
 
< 0.1%
4000001
 
< 0.1%
ValueCountFrequency (%)
4000001
 
< 0.1%
3000002
 
< 0.1%
1500002
 
< 0.1%
1000001
 
< 0.1%
019185
> 99.9%

gsi
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct56
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1151.113314
Minimum0
Maximum2900000
Zeros19066
Zeros (%)99.3%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:51.900228image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum2900000
Range2900000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation29613.16376
Coefficient of variation (CV)25.72567217
Kurtosis5204.407963
Mean1151.113314
Median Absolute Deviation (MAD)0
Skewness61.73517364
Sum22091015.61
Variance876939467.6
MonotonicityNot monotonic
2022-08-24T10:14:52.038798image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
019066
99.3%
15000010
 
0.1%
5000010
 
0.1%
1000009
 
< 0.1%
200008
 
< 0.1%
3000007
 
< 0.1%
100006
 
< 0.1%
2000004
 
< 0.1%
300004
 
< 0.1%
5000003
 
< 0.1%
Other values (46)64
 
0.3%
ValueCountFrequency (%)
019066
99.3%
30001
 
< 0.1%
45002
 
< 0.1%
50001
 
< 0.1%
100006
 
< 0.1%
ValueCountFrequency (%)
29000001
< 0.1%
13200001
< 0.1%
10000002
< 0.1%
8000001
< 0.1%
7200001
< 0.1%

inmsi
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct20
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean65.39089504
Minimum0
Maximum320000
Zeros19165
Zeros (%)99.9%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:52.172439image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum320000
Range320000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3238.57811
Coefficient of variation (CV)49.52643801
Kurtosis6071.179771
Mean65.39089504
Median Absolute Deviation (MAD)0
Skewness72.15231123
Sum1254916.667
Variance10488388.17
MonotonicityNot monotonic
2022-08-24T10:14:52.275164image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
019165
99.9%
250003
 
< 0.1%
50002
 
< 0.1%
100002
 
< 0.1%
4166.6666672
 
< 0.1%
400002
 
< 0.1%
15002
 
< 0.1%
70001
 
< 0.1%
500001
 
< 0.1%
800001
 
< 0.1%
Other values (10)10
 
0.1%
ValueCountFrequency (%)
019165
99.9%
12501
 
< 0.1%
15002
 
< 0.1%
2333.3333331
 
< 0.1%
30001
 
< 0.1%
ValueCountFrequency (%)
3200001
< 0.1%
2000001
< 0.1%
1400001
< 0.1%
1200001
< 0.1%
1000001
< 0.1%

ssmb
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct51
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1541.204173
Minimum0
Maximum3900000
Zeros19103
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:52.409117image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum3900000
Range3900000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation47240.5216
Coefficient of variation (CV)30.65169589
Kurtosis4191.001714
Mean1541.204173
Median Absolute Deviation (MAD)0
Skewness59.65818566
Sum29577249.28
Variance2231666881
MonotonicityNot monotonic
2022-08-24T10:14:52.559883image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
019103
99.5%
3000007
 
< 0.1%
800007
 
< 0.1%
2500004
 
< 0.1%
2000004
 
< 0.1%
200004
 
< 0.1%
1000004
 
< 0.1%
4000004
 
< 0.1%
600003
 
< 0.1%
400003
 
< 0.1%
Other values (41)48
 
0.3%
ValueCountFrequency (%)
019103
99.5%
50001
 
< 0.1%
60001
 
< 0.1%
100001
 
< 0.1%
120001
 
< 0.1%
ValueCountFrequency (%)
39000001
< 0.1%
30000002
< 0.1%
15438001
< 0.1%
8500001
< 0.1%
8000002
< 0.1%

ssmn
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct59
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1361.341512
Minimum0
Maximum2964950
Zeros19103
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:52.735736image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum2964950
Range2964950
Interquartile range (IQR)0

Descriptive statistics

Standard deviation38404.08229
Coefficient of variation (CV)28.21046883
Kurtosis3454.806597
Mean1361.341512
Median Absolute Deviation (MAD)0
Skewness53.61526912
Sum26125504.95
Variance1474873536
MonotonicityNot monotonic
2022-08-24T10:14:52.879352image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
019103
99.5%
2685007
 
< 0.1%
800007
 
< 0.1%
200004
 
< 0.1%
400003
 
< 0.1%
600003
 
< 0.1%
1790003
 
< 0.1%
1000003
 
< 0.1%
3580003
 
< 0.1%
2237502
 
< 0.1%
Other values (49)53
 
0.3%
ValueCountFrequency (%)
019103
99.5%
50001
 
< 0.1%
60001
 
< 0.1%
100001
 
< 0.1%
120001
 
< 0.1%
ValueCountFrequency (%)
29649501
< 0.1%
23394502
< 0.1%
15438001
< 0.1%
8000001
< 0.1%
7599501
< 0.1%

ssnm
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.10937419
Minimum0
Maximum173200
Zeros19188
Zeros (%)> 99.9%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:52.995608image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum173200
Range173200
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1270.908951
Coefficient of variation (CV)114.3996889
Kurtosis17988.94969
Mean11.10937419
Median Absolute Deviation (MAD)0
Skewness132.5924825
Sum213200
Variance1615209.561
MonotonicityNot monotonic
2022-08-24T10:14:53.082376image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
019188
> 99.9%
1732001
 
< 0.1%
100001
 
< 0.1%
300001
 
< 0.1%
ValueCountFrequency (%)
019188
> 99.9%
100001
 
< 0.1%
300001
 
< 0.1%
1732001
 
< 0.1%
ValueCountFrequency (%)
1732001
 
< 0.1%
300001
 
< 0.1%
100001
 
< 0.1%
019188
> 99.9%

ia
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct96
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6143.515855
Minimum0
Maximum9262800
Zeros18831
Zeros (%)98.1%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:53.206252image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum9262800
Range9262800
Interquartile range (IQR)0

Descriptive statistics

Standard deviation110675.56
Coefficient of variation (CV)18.01501983
Kurtosis4122.128427
Mean6143.515855
Median Absolute Deviation (MAD)0
Skewness56.33882712
Sum117900212.8
Variance1.224907957 × 1010
MonotonicityNot monotonic
2022-08-24T10:14:53.343884image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
018831
98.1%
10000037
 
0.2%
20000025
 
0.1%
15000024
 
0.1%
5000015
 
0.1%
30000015
 
0.1%
50000014
 
0.1%
8000013
 
0.1%
25000010
 
0.1%
6000010
 
0.1%
Other values (86)197
 
1.0%
ValueCountFrequency (%)
018831
98.1%
8333.3333331
 
< 0.1%
120001
 
< 0.1%
125001
 
< 0.1%
150001
 
< 0.1%
ValueCountFrequency (%)
92628001
< 0.1%
80277601
< 0.1%
33000001
< 0.1%
30000002
< 0.1%
25000001
< 0.1%

ii
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct55
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1421.752364
Minimum0
Maximum2673861
Zeros19095
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:53.486874image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum2673861
Range2673861
Interquartile range (IQR)0

Descriptive statistics

Standard deviation34550.03038
Coefficient of variation (CV)24.30101841
Kurtosis2953.623189
Mean1421.752364
Median Absolute Deviation (MAD)0
Skewness47.65097983
Sum27284849.62
Variance1193704599
MonotonicityNot monotonic
2022-08-24T10:14:53.647702image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
019095
99.5%
2000008
 
< 0.1%
3000006
 
< 0.1%
4000006
 
< 0.1%
393155.56196
 
< 0.1%
1000005
 
< 0.1%
1500004
 
< 0.1%
33333.333333
 
< 0.1%
83333.333333
 
< 0.1%
6000003
 
< 0.1%
Other values (45)52
 
0.3%
ValueCountFrequency (%)
019095
99.5%
1666.6666671
 
< 0.1%
20001
 
< 0.1%
2083.3333331
 
< 0.1%
30001
 
< 0.1%
ValueCountFrequency (%)
26738611
< 0.1%
20000001
< 0.1%
18000001
< 0.1%
10000002
< 0.1%
7500001
< 0.1%

id
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct26
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean427.9992358
Minimum0
Maximum1543800
Zeros19163
Zeros (%)99.9%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:53.789319image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1543800
Range1543800
Interquartile range (IQR)0

Descriptive statistics

Standard deviation19652.40989
Coefficient of variation (CV)45.91692753
Kurtosis4264.697922
Mean427.9992358
Median Absolute Deviation (MAD)0
Skewness61.39422609
Sum8213733.333
Variance386217214.5
MonotonicityNot monotonic
2022-08-24T10:14:53.912985image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
019163
99.9%
349331.66672
 
< 0.1%
16666.666672
 
< 0.1%
6000002
 
< 0.1%
3000001
 
< 0.1%
19166.666671
 
< 0.1%
75001
 
< 0.1%
6666.6666671
 
< 0.1%
5833.3333331
 
< 0.1%
250001
 
< 0.1%
Other values (16)16
 
0.1%
ValueCountFrequency (%)
019163
99.9%
1666.6666671
 
< 0.1%
4166.6666671
 
< 0.1%
5833.3333331
 
< 0.1%
6666.6666671
 
< 0.1%
ValueCountFrequency (%)
15438001
< 0.1%
15000001
< 0.1%
10000001
< 0.1%
6175201
< 0.1%
6000002
< 0.1%

ib
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct69
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean443.5863945
Minimum0
Maximum1500000
Zeros19034
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:54.072564image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1500000
Range1500000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation13321.76921
Coefficient of variation (CV)30.03196081
Kurtosis8573.330531
Mean443.5863945
Median Absolute Deviation (MAD)0
Skewness81.73959929
Sum8512866.497
Variance177469535
MonotonicityNot monotonic
2022-08-24T10:14:54.240113image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
019034
99.2%
16666.6666715
 
0.1%
2500011
 
0.1%
4166.66666710
 
0.1%
8333.3333338
 
< 0.1%
41666.666677
 
< 0.1%
1666.6666675
 
< 0.1%
33333.333335
 
< 0.1%
25004
 
< 0.1%
58333.333334
 
< 0.1%
Other values (59)88
 
0.5%
ValueCountFrequency (%)
019034
99.2%
5001
 
< 0.1%
833.33333332
 
< 0.1%
12501
 
< 0.1%
1416.6666671
 
< 0.1%
ValueCountFrequency (%)
15000001
< 0.1%
5000001
< 0.1%
416666.66671
< 0.1%
3500001
< 0.1%
2500002
< 0.1%

trnc
Real number (ℝ≥0)

ZEROS

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2274.34735
Minimum0
Maximum300000
Zeros18672
Zeros (%)97.3%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:54.381313image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum300000
Range300000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation14083.55281
Coefficient of variation (CV)6.192349117
Kurtosis76.4290308
Mean2274.34735
Median Absolute Deviation (MAD)0
Skewness7.312248206
Sum43647000
Variance198346459.7
MonotonicityNot monotonic
2022-08-24T10:14:54.468080image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
018672
97.3%
82000514
 
2.7%
3000004
 
< 0.1%
2990001
 
< 0.1%
ValueCountFrequency (%)
018672
97.3%
82000514
 
2.7%
2990001
 
< 0.1%
3000004
 
< 0.1%
ValueCountFrequency (%)
3000004
 
< 0.1%
2990001
 
< 0.1%
82000514
 
2.7%
018672
97.3%

taprnc
Real number (ℝ≥0)

ZEROS

Distinct18
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean189.1793896
Minimum0
Maximum25000
Zeros18677
Zeros (%)97.3%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:54.570497image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum25000
Range25000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1174.707804
Coefficient of variation (CV)6.209491456
Kurtosis69.60974064
Mean189.1793896
Median Absolute Deviation (MAD)0
Skewness7.145150923
Sum3630541.667
Variance1379938.424
MonotonicityNot monotonic
2022-08-24T10:14:54.695460image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
018677
97.3%
6833.333333463
 
2.4%
6666.66666712
 
0.1%
7083.3333335
 
< 0.1%
68755
 
< 0.1%
70005
 
< 0.1%
6916.6666674
 
< 0.1%
65003
 
< 0.1%
11666.666673
 
< 0.1%
13333.333333
 
< 0.1%
Other values (8)11
 
0.1%
ValueCountFrequency (%)
018677
97.3%
65003
 
< 0.1%
6666.66666712
 
0.1%
6833.333333463
 
2.4%
68755
 
< 0.1%
ValueCountFrequency (%)
250001
 
< 0.1%
24916.666672
< 0.1%
24833.333331
 
< 0.1%
13333.333333
< 0.1%
125001
 
< 0.1%

ttrnc
Real number (ℝ≥0)

ZEROS

Distinct21
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2463.52674
Minimum0
Maximum325000
Zeros18672
Zeros (%)97.3%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:54.807709image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum325000
Range325000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation15245.32012
Coefficient of variation (CV)6.188412684
Kurtosis75.05876234
Mean2463.52674
Median Absolute Deviation (MAD)0
Skewness7.273529586
Sum47277541.67
Variance232419785.7
MonotonicityNot monotonic
2022-08-24T10:14:54.915974image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
018672
97.3%
88833.33333463
 
2.4%
88666.6666712
 
0.1%
820005
 
< 0.1%
888755
 
< 0.1%
890005
 
< 0.1%
89083.333335
 
< 0.1%
88916.666674
 
< 0.1%
885003
 
< 0.1%
95333.333333
 
< 0.1%
Other values (11)14
 
0.1%
ValueCountFrequency (%)
018672
97.3%
820005
 
< 0.1%
885003
 
< 0.1%
88666.6666712
 
0.1%
88833.33333463
 
2.4%
ValueCountFrequency (%)
3250001
< 0.1%
324916.66671
< 0.1%
324833.33331
< 0.1%
323916.66671
< 0.1%
311666.66671
< 0.1%

timas
Real number (ℝ≥0)

ZEROS

Distinct29
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1758.56843
Minimum0
Maximum130000
Zeros18070
Zeros (%)94.2%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:55.029126image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile18000
Maximum130000
Range130000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation7932.450733
Coefficient of variation (CV)4.510743282
Kurtosis39.46328643
Mean1758.56843
Median Absolute Deviation (MAD)0
Skewness5.653243447
Sum33748686.75
Variance62923774.63
MonotonicityNot monotonic
2022-08-24T10:14:55.164028image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
018070
94.2%
18000445
 
2.3%
30000387
 
2.0%
40000117
 
0.6%
6000038
 
0.2%
5000037
 
0.2%
7500035
 
0.2%
3500011
 
0.1%
200009
 
< 0.1%
310006
 
< 0.1%
Other values (19)36
 
0.2%
ValueCountFrequency (%)
018070
94.2%
170002
 
< 0.1%
18000445
 
2.3%
200009
 
< 0.1%
225001
 
< 0.1%
ValueCountFrequency (%)
1300001
 
< 0.1%
1100001
 
< 0.1%
1000004
< 0.1%
810001
 
< 0.1%
780001
 
< 0.1%

ts
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct27
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean263.3575758
Minimum0
Maximum400000
Zeros19140
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:55.274251image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum400000
Range400000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation6916.947531
Coefficient of variation (CV)26.26447144
Kurtosis1865.304762
Mean263.3575758
Median Absolute Deviation (MAD)0
Skewness39.30982198
Sum5054095.238
Variance47844163.14
MonotonicityNot monotonic
2022-08-24T10:14:55.384497image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
019140
99.7%
300005
 
< 0.1%
750004
 
< 0.1%
180004
 
< 0.1%
820003
 
< 0.1%
400003
 
< 0.1%
600003
 
< 0.1%
1000003
 
< 0.1%
1100003
 
< 0.1%
800003
 
< 0.1%
Other values (17)20
 
0.1%
ValueCountFrequency (%)
019140
99.7%
6833.3333331
 
< 0.1%
180004
 
< 0.1%
300005
 
< 0.1%
33333.333331
 
< 0.1%
ValueCountFrequency (%)
4000002
< 0.1%
3300001
< 0.1%
3000001
< 0.1%
2750001
< 0.1%
2200001
< 0.1%

tbc
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct66
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1073.110498
Minimum0
Maximum1818570
Zeros18904
Zeros (%)98.5%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:55.516352image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1818570
Range1818570
Interquartile range (IQR)0

Descriptive statistics

Standard deviation16943.46657
Coefficient of variation (CV)15.7891164
Kurtosis6944.888409
Mean1073.110498
Median Absolute Deviation (MAD)0
Skewness68.21747257
Sum20594063.58
Variance287081059.5
MonotonicityNot monotonic
2022-08-24T10:14:55.647088image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
018904
98.5%
1800062
 
0.3%
3000023
 
0.1%
4000015
 
0.1%
8000014
 
0.1%
10000012
 
0.1%
6000011
 
0.1%
2500011
 
0.1%
15000011
 
0.1%
5000010
 
0.1%
Other values (56)118
 
0.6%
ValueCountFrequency (%)
018904
98.5%
100002
 
< 0.1%
135001
 
< 0.1%
150004
 
< 0.1%
152001
 
< 0.1%
ValueCountFrequency (%)
18185701
 
< 0.1%
3000003
< 0.1%
2800001
 
< 0.1%
2600001
 
< 0.1%
2500001
 
< 0.1%

tpa
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct110
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3687.781918
Minimum0
Maximum1852560
Zeros18621
Zeros (%)97.0%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:55.794400image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1852560
Range1852560
Interquartile range (IQR)0

Descriptive statistics

Standard deviation32439.52658
Coefficient of variation (CV)8.796487238
Kurtosis1159.469583
Mean3687.781918
Median Absolute Deviation (MAD)0
Skewness25.84110652
Sum70772222.79
Variance1052322885
MonotonicityNot monotonic
2022-08-24T10:14:55.931644image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
018621
97.0%
8000061
 
0.3%
10000051
 
0.3%
6000042
 
0.2%
5000035
 
0.2%
7000028
 
0.1%
4000026
 
0.1%
12000026
 
0.1%
20000025
 
0.1%
15000021
 
0.1%
Other values (100)255
 
1.3%
ValueCountFrequency (%)
018621
97.0%
40001
 
< 0.1%
5833.3333331
 
< 0.1%
6666.6666671
 
< 0.1%
8333.3333331
 
< 0.1%
ValueCountFrequency (%)
18525601
< 0.1%
18000001
< 0.1%
9500001
< 0.1%
8000001
< 0.1%
7000001
< 0.1%

tapa
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct100
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean250.3352027
Minimum0
Maximum151547.5
Zeros18747
Zeros (%)97.7%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:56.079940image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum151547.5
Range151547.5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2529.102276
Coefficient of variation (CV)10.10286308
Kurtosis1449.826837
Mean250.3352027
Median Absolute Deviation (MAD)0
Skewness29.68518941
Sum4804182.874
Variance6396358.321
MonotonicityNot monotonic
2022-08-24T10:14:56.211228image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
018747
97.7%
6666.66666748
 
0.3%
8333.33333337
 
0.2%
500033
 
0.2%
4166.66666724
 
0.1%
1000022
 
0.1%
5833.33333321
 
0.1%
16666.6666719
 
0.1%
1250018
 
0.1%
3333.33333314
 
0.1%
Other values (90)208
 
1.1%
ValueCountFrequency (%)
018747
97.7%
833.33333331
 
< 0.1%
1666.6666671
 
< 0.1%
2083.3333333
 
< 0.1%
25003
 
< 0.1%
ValueCountFrequency (%)
151547.51
< 0.1%
1500001
< 0.1%
79166.666671
< 0.1%
66666.666671
< 0.1%
58333.333331
< 0.1%

tsepa
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct67
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean121.1638776
Minimum0
Maximum151547.5
Zeros18946
Zeros (%)98.7%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:56.355545image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum151547.5
Range151547.5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1896.570412
Coefficient of variation (CV)15.65293593
Kurtosis4183.33809
Mean121.1638776
Median Absolute Deviation (MAD)0
Skewness55.21928285
Sum2325255.974
Variance3596979.329
MonotonicityNot monotonic
2022-08-24T10:14:56.489878image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
018946
98.7%
6666.66666727
 
0.1%
4166.66666724
 
0.1%
8333.33333322
 
0.1%
500020
 
0.1%
3333.33333314
 
0.1%
5833.33333311
 
0.1%
1250011
 
0.1%
1000011
 
0.1%
16666.666677
 
< 0.1%
Other values (57)98
 
0.5%
ValueCountFrequency (%)
018946
98.7%
2083.3333332
 
< 0.1%
25002
 
< 0.1%
2833.3333332
 
< 0.1%
3083.3333331
 
< 0.1%
ValueCountFrequency (%)
151547.51
 
< 0.1%
1500001
 
< 0.1%
41666.666671
 
< 0.1%
275002
< 0.1%
250003
< 0.1%

ttpa
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct202
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4059.280998
Minimum0
Maximum2155655
Zeros18621
Zeros (%)97.0%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:56.638084image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum2155655
Range2155655
Interquartile range (IQR)0

Descriptive statistics

Standard deviation36208.69443
Coefficient of variation (CV)8.919977317
Kurtosis1341.606389
Mean4059.280998
Median Absolute Deviation (MAD)0
Skewness27.81806526
Sum77901661.63
Variance1311069552
MonotonicityNot monotonic
2022-08-24T10:14:56.773460image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
018621
97.0%
7000022
 
0.1%
93333.3333322
 
0.1%
86666.6666721
 
0.1%
108333.333317
 
0.1%
8000016
 
0.1%
6500015
 
0.1%
116666.666713
 
0.1%
10000013
 
0.1%
58333.3333312
 
0.1%
Other values (192)419
 
2.2%
ValueCountFrequency (%)
018621
97.0%
40001
 
< 0.1%
100001
 
< 0.1%
11666.666671
 
< 0.1%
150001
 
< 0.1%
ValueCountFrequency (%)
21556551
< 0.1%
21000001
< 0.1%
1029166.6671
< 0.1%
866666.66671
< 0.1%
8000001
< 0.1%

tpn
Real number (ℝ≥0)

ZEROS

Distinct245
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32922.4575
Minimum0
Maximum5000000
Zeros17472
Zeros (%)91.0%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:56.911922image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile177000
Maximum5000000
Range5000000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation158755.0609
Coefficient of variation (CV)4.822090236
Kurtosis120.9692618
Mean32922.4575
Median Absolute Deviation (MAD)0
Skewness8.783539932
Sum631814881.9
Variance2.520316935 × 1010
MonotonicityNot monotonic
2022-08-24T10:14:57.049568image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
017472
91.0%
130000130
 
0.7%
20000077
 
0.4%
50000071
 
0.4%
30000062
 
0.3%
60000059
 
0.3%
15000059
 
0.3%
13600055
 
0.3%
13500051
 
0.3%
40000048
 
0.3%
Other values (235)1107
 
5.8%
ValueCountFrequency (%)
017472
91.0%
350002
 
< 0.1%
420001
 
< 0.1%
450004
 
< 0.1%
500002
 
< 0.1%
ValueCountFrequency (%)
50000001
< 0.1%
30000001
< 0.1%
27000001
< 0.1%
26200001
< 0.1%
26000001
< 0.1%

tapn
Real number (ℝ≥0)

ZEROS

Distinct244
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2745.725789
Minimum0
Maximum416666.6667
Zeros17501
Zeros (%)91.2%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:57.189628image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile14250
Maximum416666.6667
Range416666.6667
Interquartile range (IQR)0

Descriptive statistics

Standard deviation13303.10884
Coefficient of variation (CV)4.845024545
Kurtosis118.8657622
Mean2745.725789
Median Absolute Deviation (MAD)0
Skewness8.719540024
Sum52693223.62
Variance176972704.8
MonotonicityNot monotonic
2022-08-24T10:14:57.317903image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
017501
91.2%
10833.33333131
 
0.7%
16666.6666774
 
0.4%
41666.6666770
 
0.4%
1250063
 
0.3%
2500062
 
0.3%
5000055
 
0.3%
11333.3333353
 
0.3%
33333.3333351
 
0.3%
1125050
 
0.3%
Other values (234)1081
 
5.6%
ValueCountFrequency (%)
017501
91.2%
2916.6666672
 
< 0.1%
35001
 
< 0.1%
37504
 
< 0.1%
4166.6666671
 
< 0.1%
ValueCountFrequency (%)
416666.66671
< 0.1%
2500001
< 0.1%
2250001
< 0.1%
218333.33331
< 0.1%
216666.66671
< 0.1%

ttpn
Real number (ℝ≥0)

ZEROS

Distinct329
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35668.18329
Minimum0
Maximum5416666.667
Zeros17472
Zeros (%)91.0%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:57.449062image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile189583.3333
Maximum5416666.667
Range5416666.667
Interquartile range (IQR)0

Descriptive statistics

Standard deviation171846.244
Coefficient of variation (CV)4.817914123
Kurtosis120.8725304
Mean35668.18329
Median Absolute Deviation (MAD)0
Skewness8.77281411
Sum684508105.5
Variance2.953113158 × 1010
MonotonicityNot monotonic
2022-08-24T10:14:57.585278image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
017472
91.0%
140833.3333128
 
0.7%
216666.666772
 
0.4%
541666.666768
 
0.4%
32500060
 
0.3%
16250057
 
0.3%
65000054
 
0.3%
147333.333352
 
0.3%
14625050
 
0.3%
433333.333345
 
0.2%
Other values (319)1133
 
5.9%
ValueCountFrequency (%)
017472
91.0%
37916.666672
 
< 0.1%
455001
 
< 0.1%
487504
 
< 0.1%
54166.666671
 
< 0.1%
ValueCountFrequency (%)
5416666.6671
< 0.1%
32500001
< 0.1%
29250001
< 0.1%
2838333.3331
< 0.1%
2816666.6671
< 0.1%

tpe
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct33
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1594.133292
Minimum0
Maximum3087600
Zeros19149
Zeros (%)99.8%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:57.721300image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum3087600
Range3087600
Interquartile range (IQR)0

Descriptive statistics

Standard deviation45392.88287
Coefficient of variation (CV)28.47496073
Kurtosis2244.130898
Mean1594.133292
Median Absolute Deviation (MAD)0
Skewness42.31325368
Sum30593012
Variance2060513815
MonotonicityNot monotonic
2022-08-24T10:14:57.848942image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
019149
99.8%
9262805
 
< 0.1%
3087603
 
< 0.1%
897726.33332
 
< 0.1%
3000002
 
< 0.1%
25000002
 
< 0.1%
10000002
 
< 0.1%
11115361
 
< 0.1%
6200001
 
< 0.1%
2000001
 
< 0.1%
Other values (23)23
 
0.1%
ValueCountFrequency (%)
019149
99.8%
16666.666671
 
< 0.1%
24700.666671
 
< 0.1%
29166.666671
 
< 0.1%
438001
 
< 0.1%
ValueCountFrequency (%)
30876001
< 0.1%
25000002
< 0.1%
12000001
< 0.1%
11321201
< 0.1%
11115361
< 0.1%

tape
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct16
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean83.52192361
Minimum0
Maximum252579.1667
Zeros19174
Zeros (%)99.9%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:57.976593image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum252579.1667
Range252579.1667
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3601.714929
Coefficient of variation (CV)43.12298823
Kurtosis3023.022253
Mean83.52192361
Median Absolute Deviation (MAD)0
Skewness52.61928599
Sum1602869.236
Variance12972350.43
MonotonicityNot monotonic
2022-08-24T10:14:58.088301image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
019174
99.9%
40412.666672
 
< 0.1%
208333.33332
 
< 0.1%
92009.916671
 
< 0.1%
252579.16671
 
< 0.1%
25257.916671
 
< 0.1%
138918.54171
 
< 0.1%
4166.6666671
 
< 0.1%
123081.94441
 
< 0.1%
75773.751
 
< 0.1%
Other values (6)6
 
< 0.1%
ValueCountFrequency (%)
019174
99.9%
4166.6666671
 
< 0.1%
150001
 
< 0.1%
250001
 
< 0.1%
25257.916671
 
< 0.1%
ValueCountFrequency (%)
252579.16671
< 0.1%
208333.33332
< 0.1%
1852561
< 0.1%
138918.54171
< 0.1%
123081.94441
< 0.1%

ttpe
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct37
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1677.655215
Minimum0
Maximum3340179.167
Zeros19149
Zeros (%)99.8%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:58.218811image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum3340179.167
Range3340179.167
Interquartile range (IQR)0

Descriptive statistics

Standard deviation48237.73415
Coefficient of variation (CV)28.7530678
Kurtosis2386.899265
Mean1677.655215
Median Absolute Deviation (MAD)0
Skewness43.62649151
Sum32195881.24
Variance2326878996
MonotonicityNot monotonic
2022-08-24T10:14:58.359298image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
019149
99.8%
9262804
 
< 0.1%
2708333.3332
 
< 0.1%
3705122
 
< 0.1%
3087602
 
< 0.1%
29166.666671
 
< 0.1%
6000001
 
< 0.1%
24700.666671
 
< 0.1%
1083333.3331
 
< 0.1%
671666.66671
 
< 0.1%
Other values (27)27
 
0.1%
ValueCountFrequency (%)
019149
99.8%
20833.333331
 
< 0.1%
24700.666671
 
< 0.1%
29166.666671
 
< 0.1%
438001
 
< 0.1%
ValueCountFrequency (%)
3340179.1671
< 0.1%
2708333.3332
< 0.1%
1271038.5421
< 0.1%
12000001
< 0.1%
11115361
< 0.1%

te
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct34
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean563.1312845
Minimum0
Maximum1543800
Zeros19143
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:59.411509image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1543800
Range1543800
Interquartile range (IQR)0

Descriptive statistics

Standard deviation17470.48105
Coefficient of variation (CV)31.02381546
Kurtosis3715.720928
Mean563.1312845
Median Absolute Deviation (MAD)0
Skewness52.86561458
Sum10807052.48
Variance305217708.2
MonotonicityNot monotonic
2022-08-24T10:14:59.537174image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
019143
99.7%
1235048
 
< 0.1%
6175204
 
< 0.1%
308763
 
< 0.1%
1852563
 
< 0.1%
1000002
 
< 0.1%
2400001
 
< 0.1%
8333.3333331
 
< 0.1%
1543801
 
< 0.1%
1400001
 
< 0.1%
Other values (24)24
 
0.1%
ValueCountFrequency (%)
019143
99.7%
5833.3333331
 
< 0.1%
8333.3333331
 
< 0.1%
154381
 
< 0.1%
200001
 
< 0.1%
ValueCountFrequency (%)
15438001
 
< 0.1%
6687741
 
< 0.1%
6175204
< 0.1%
5000001
 
< 0.1%
4940161
 
< 0.1%

tdp
Real number (ℝ≥0)

ZEROS

Distinct73
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3037.355529
Minimum0
Maximum700000
Zeros18637
Zeros (%)97.1%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:59.676800image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum700000
Range700000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation25232.07574
Coefficient of variation (CV)8.307251325
Kurtosis236.3001262
Mean3037.355529
Median Absolute Deviation (MAD)0
Skewness13.42624547
Sum58289889.95
Variance636657646.1
MonotonicityNot monotonic
2022-08-24T10:14:59.812713image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
018637
97.1%
10000074
 
0.4%
5000067
 
0.3%
8000032
 
0.2%
4000029
 
0.2%
15000028
 
0.1%
2000025
 
0.1%
3000025
 
0.1%
20000025
 
0.1%
6000023
 
0.1%
Other values (63)226
 
1.2%
ValueCountFrequency (%)
018637
97.1%
4166.6666671
 
< 0.1%
50002
 
< 0.1%
6333.3333331
 
< 0.1%
75001
 
< 0.1%
ValueCountFrequency (%)
7000002
 
< 0.1%
6500001
 
< 0.1%
6000002
 
< 0.1%
5000005
< 0.1%
4800001
 
< 0.1%

ot
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct44
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean610.2240807
Minimum0
Maximum1350000
Zeros19113
Zeros (%)99.6%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:14:59.954038image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1350000
Range1350000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation15268.37855
Coefficient of variation (CV)25.02093745
Kurtosis3601.541118
Mean610.2240807
Median Absolute Deviation (MAD)0
Skewness50.38563622
Sum11710810.33
Variance233123383.6
MonotonicityNot monotonic
2022-08-24T10:15:00.112761image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
019113
99.6%
10000011
 
0.1%
2000007
 
< 0.1%
5000004
 
< 0.1%
500004
 
< 0.1%
750004
 
< 0.1%
400003
 
< 0.1%
3000003
 
< 0.1%
820003
 
< 0.1%
2500002
 
< 0.1%
Other values (34)37
 
0.2%
ValueCountFrequency (%)
019113
99.6%
3333.3333331
 
< 0.1%
35001
 
< 0.1%
8333.3333331
 
< 0.1%
86601
 
< 0.1%
ValueCountFrequency (%)
13500001
 
< 0.1%
6000001
 
< 0.1%
5000004
< 0.1%
3000003
< 0.1%
2990001
 
< 0.1%

tnm
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct78
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1559.644057
Minimum0
Maximum962000
Zeros18835
Zeros (%)98.1%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:15:00.268960image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum962000
Range962000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation17909.79826
Coefficient of variation (CV)11.48326003
Kurtosis805.1049254
Mean1559.644057
Median Absolute Deviation (MAD)0
Skewness23.20858859
Sum29931129.1
Variance320760873.6
MonotonicityNot monotonic
2022-08-24T10:15:00.417243image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
018835
98.1%
5000040
 
0.2%
3000037
 
0.2%
10000030
 
0.2%
2000020
 
0.1%
4000020
 
0.1%
6000019
 
0.1%
20000017
 
0.1%
15000017
 
0.1%
1500015
 
0.1%
Other values (68)141
 
0.7%
ValueCountFrequency (%)
018835
98.1%
30001
 
< 0.1%
50003
 
< 0.1%
55001
 
< 0.1%
70001
 
< 0.1%
ValueCountFrequency (%)
9620001
< 0.1%
7000001
< 0.1%
6000001
< 0.1%
5500001
< 0.1%
4500001
< 0.1%

ipinm
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct77
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean554.5228751
Minimum0
Maximum750000
Zeros18916
Zeros (%)98.6%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:15:00.556406image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum750000
Range750000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation10217.09286
Coefficient of variation (CV)18.42501603
Kurtosis2176.758964
Mean554.5228751
Median Absolute Deviation (MAD)0
Skewness39.95049404
Sum10641848.5
Variance104388986.6
MonotonicityNot monotonic
2022-08-24T10:15:00.691713image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
018916
98.6%
1000041
 
0.2%
2000029
 
0.2%
500024
 
0.1%
1500014
 
0.1%
10000012
 
0.1%
5000011
 
0.1%
3000010
 
0.1%
250008
 
< 0.1%
30008
 
< 0.1%
Other values (67)118
 
0.6%
ValueCountFrequency (%)
018916
98.6%
166.66666671
 
< 0.1%
10002
 
< 0.1%
12501
 
< 0.1%
15001
 
< 0.1%
ValueCountFrequency (%)
7500001
 
< 0.1%
5000001
 
< 0.1%
4000001
 
< 0.1%
3200001
 
< 0.1%
3000004
< 0.1%

ipim
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct334
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33675.32518
Minimum0
Maximum30000000
Zeros17337
Zeros (%)90.3%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:15:00.845717image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile200000
Maximum30000000
Range30000000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation294745.6369
Coefficient of variation (CV)8.75256988
Kurtosis5683.731173
Mean33675.32518
Median Absolute Deviation (MAD)0
Skewness60.54980321
Sum646263165.6
Variance8.687499047 × 1010
MonotonicityNot monotonic
2022-08-24T10:15:00.999793image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
017337
90.3%
200000134
 
0.7%
100000105
 
0.5%
300000105
 
0.5%
15000089
 
0.5%
40000087
 
0.5%
25000075
 
0.4%
5000066
 
0.3%
50000060
 
0.3%
2000043
 
0.2%
Other values (324)1090
 
5.7%
ValueCountFrequency (%)
017337
90.3%
12501
 
< 0.1%
15001
 
< 0.1%
20001
 
< 0.1%
30001
 
< 0.1%
ValueCountFrequency (%)
300000001
 
< 0.1%
90000001
 
< 0.1%
7916666.6671
 
< 0.1%
65000001
 
< 0.1%
50000005
< 0.1%

ipit
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct408
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34229.84806
Minimum0
Maximum30050000
Zeros17332
Zeros (%)90.3%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:15:01.150927image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile200000
Maximum30050000
Range30050000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation296227.6891
Coefficient of variation (CV)8.654075488
Kurtosis5608.959972
Mean34229.84806
Median Absolute Deviation (MAD)0
Skewness60.01778756
Sum656905014.1
Variance8.775084376 × 1010
MonotonicityNot monotonic
2022-08-24T10:15:01.308975image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
017332
90.3%
200000117
 
0.6%
30000096
 
0.5%
10000086
 
0.4%
40000076
 
0.4%
25000073
 
0.4%
15000072
 
0.4%
5000056
 
0.3%
50000052
 
0.3%
35000041
 
0.2%
Other values (398)1190
 
6.2%
ValueCountFrequency (%)
017332
90.3%
15001
 
< 0.1%
1666.6666671
 
< 0.1%
20001
 
< 0.1%
25002
 
< 0.1%
ValueCountFrequency (%)
300500001
< 0.1%
90000001
< 0.1%
7916666.6671
< 0.1%
65000001
< 0.1%
55000001
< 0.1%

tormsp
Real number (ℝ≥0)

ZEROS

Distinct579
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15077.70456
Minimum0
Maximum1825000
Zeros15102
Zeros (%)78.7%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:15:01.467150image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile87500
Maximum1825000
Range1825000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation49019.28075
Coefficient of variation (CV)3.25111031
Kurtosis171.7754964
Mean15077.70456
Median Absolute Deviation (MAD)0
Skewness8.798599522
Sum289356228.2
Variance2402889885
MonotonicityNot monotonic
2022-08-24T10:15:01.627280image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
015102
78.7%
25000220
 
1.1%
33333.33333186
 
1.0%
29166.66667175
 
0.9%
41666.66667136
 
0.7%
50000120
 
0.6%
37500108
 
0.6%
83333.3333398
 
0.5%
16666.6666795
 
0.5%
58333.3333388
 
0.5%
Other values (569)2863
 
14.9%
ValueCountFrequency (%)
015102
78.7%
6171
 
< 0.1%
15001
 
< 0.1%
1666.6666672
 
< 0.1%
2083.3333333
 
< 0.1%
ValueCountFrequency (%)
18250001
 
< 0.1%
1301983.3331
 
< 0.1%
11250001
 
< 0.1%
7500004
< 0.1%
666666.66673
< 0.1%

tspnm
Real number (ℝ≥0)

ZEROS

Distinct169
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2830.668485
Minimum0
Maximum850000
Zeros18488
Zeros (%)96.3%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:15:01.792092image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum850000
Range850000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation21870.50009
Coefficient of variation (CV)7.726266857
Kurtosis345.3903276
Mean2830.668485
Median Absolute Deviation (MAD)0
Skewness15.10218455
Sum54323358.89
Variance478318774.4
MonotonicityNot monotonic
2022-08-24T10:15:01.953531image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
018488
96.3%
2000054
 
0.3%
5000048
 
0.3%
10000044
 
0.2%
3000039
 
0.2%
4000034
 
0.2%
6000032
 
0.2%
8000025
 
0.1%
500018
 
0.1%
1000018
 
0.1%
Other values (159)391
 
2.0%
ValueCountFrequency (%)
018488
96.3%
20001
 
< 0.1%
30002
 
< 0.1%
40003
 
< 0.1%
500018
 
0.1%
ValueCountFrequency (%)
8500001
< 0.1%
6825201
< 0.1%
6000001
< 0.1%
5500001
< 0.1%
5400001
< 0.1%

ipsmb
Real number (ℝ≥0)

ZEROS

Distinct1729
Distinct (%)9.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean171576.1354
Minimum0
Maximum8318333.333
Zeros13325
Zeros (%)69.4%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:15:02.105723image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3216666.6667
95-th percentile900000
Maximum8318333.333
Range8318333.333
Interquartile range (IQR)216666.6667

Descriptive statistics

Standard deviation403759.7585
Coefficient of variation (CV)2.353239614
Kurtosis39.68023272
Mean171576.1354
Median Absolute Deviation (MAD)0
Skewness4.825578508
Sum3292717614
Variance1.630219426 × 1011
MonotonicityNot monotonic
2022-08-24T10:15:02.262483image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
013325
69.4%
325000146
 
0.8%
379166.6667131
 
0.7%
433333.3333116
 
0.6%
300000100
 
0.5%
65000083
 
0.4%
541666.666783
 
0.4%
20000082
 
0.4%
48750078
 
0.4%
35000075
 
0.4%
Other values (1719)4972
 
25.9%
ValueCountFrequency (%)
013325
69.4%
20001
 
< 0.1%
30001
 
< 0.1%
40002
 
< 0.1%
50003
 
< 0.1%
ValueCountFrequency (%)
8318333.3331
 
< 0.1%
65000001
 
< 0.1%
5416666.6671
 
< 0.1%
52500003
< 0.1%
49401601
 
< 0.1%

ipsmn
Real number (ℝ≥0)

ZEROS

Distinct2115
Distinct (%)11.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean153784.9195
Minimum0
Maximum7457333.333
Zeros13325
Zeros (%)69.4%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:15:02.406107image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3208166.6666
95-th percentile817450.8333
Maximum7457333.333
Range7457333.333
Interquartile range (IQR)208166.6666

Descriptive statistics

Standard deviation349138.3344
Coefficient of variation (CV)2.270302808
Kurtosis34.68814842
Mean153784.9195
Median Absolute Deviation (MAD)0
Skewness4.434063119
Sum2951286389
Variance1.218975766 × 1011
MonotonicityNot monotonic
2022-08-24T10:15:02.560097image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
013325
69.4%
293500125
 
0.7%
342416.6667122
 
0.6%
391333.3333103
 
0.5%
489166.666779
 
0.4%
44025073
 
0.4%
58700072
 
0.4%
20000068
 
0.4%
313066.666755
 
0.3%
26850054
 
0.3%
Other values (2105)5115
 
26.7%
ValueCountFrequency (%)
013325
69.4%
20001
 
< 0.1%
30001
 
< 0.1%
40002
 
< 0.1%
50003
 
< 0.1%
ValueCountFrequency (%)
7457333.3331
 
< 0.1%
49401601
 
< 0.1%
48413001
 
< 0.1%
41238003
< 0.1%
4112966.6671
 
< 0.1%

ipsbt
Real number (ℝ≥0)

ZEROS

Distinct1956
Distinct (%)10.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean174406.8038
Minimum0
Maximum8318333.333
Zeros13316
Zeros (%)69.4%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:15:02.727748image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3230000
95-th percentile920833.3333
Maximum8318333.333
Range8318333.333
Interquartile range (IQR)230000

Descriptive statistics

Standard deviation407940.4154
Coefficient of variation (CV)2.339016635
Kurtosis39.50164459
Mean174406.8038
Median Absolute Deviation (MAD)0
Skewness4.806626685
Sum3347040973
Variance1.664153826 × 1011
MonotonicityNot monotonic
2022-08-24T10:15:02.881814image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
013316
69.4%
325000132
 
0.7%
379166.6667119
 
0.6%
433333.3333106
 
0.6%
30000093
 
0.5%
65000082
 
0.4%
541666.666779
 
0.4%
35000073
 
0.4%
20000072
 
0.4%
48750072
 
0.4%
Other values (1946)5047
 
26.3%
ValueCountFrequency (%)
013316
69.4%
20001
 
< 0.1%
30001
 
< 0.1%
40002
 
< 0.1%
50003
 
< 0.1%
ValueCountFrequency (%)
8318333.3331
 
< 0.1%
65000001
 
< 0.1%
5916666.6671
 
< 0.1%
52500003
< 0.1%
49401601
 
< 0.1%

ipsnt
Real number (ℝ≥0)

ZEROS

Distinct2426
Distinct (%)12.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean156615.5879
Minimum0
Maximum7457333.333
Zeros13316
Zeros (%)69.4%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:15:03.051355image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3216500
95-th percentile830783.3333
Maximum7457333.333
Range7457333.333
Interquartile range (IQR)216500

Descriptive statistics

Standard deviation353451.0894
Coefficient of variation (CV)2.25680658
Kurtosis34.34538807
Mean156615.5879
Median Absolute Deviation (MAD)0
Skewness4.410516029
Sum3005609748
Variance1.249276726 × 1011
MonotonicityNot monotonic
2022-08-24T10:15:03.208935image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
013316
69.4%
293500112
 
0.6%
342416.6667112
 
0.6%
391333.333394
 
0.5%
489166.666778
 
0.4%
58700069
 
0.4%
44025066
 
0.3%
20000060
 
0.3%
26850051
 
0.3%
30000045
 
0.2%
Other values (2416)5188
 
27.0%
ValueCountFrequency (%)
013316
69.4%
20001
 
< 0.1%
30001
 
< 0.1%
40002
 
< 0.1%
50003
 
< 0.1%
ValueCountFrequency (%)
7457333.3331
 
< 0.1%
49401601
 
< 0.1%
48413001
 
< 0.1%
4612966.6671
 
< 0.1%
41238003
< 0.1%

ipbt
Real number (ℝ≥0)

ZEROS

Distinct2153
Distinct (%)11.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean208636.6519
Minimum0
Maximum30050000
Zeros11457
Zeros (%)59.7%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:15:03.382438image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3300000
95-th percentile975000
Maximum30050000
Range30050000
Interquartile range (IQR)300000

Descriptive statistics

Standard deviation492164.3702
Coefficient of variation (CV)2.358954507
Kurtosis734.5282802
Mean208636.6519
Median Absolute Deviation (MAD)0
Skewness15.32656512
Sum4003945987
Variance2.422257673 × 1011
MonotonicityNot monotonic
2022-08-24T10:15:03.555529image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
011457
59.7%
300000189
 
1.0%
200000189
 
1.0%
325000138
 
0.7%
400000133
 
0.7%
100000132
 
0.7%
379166.6667119
 
0.6%
250000118
 
0.6%
350000114
 
0.6%
150000110
 
0.6%
Other values (2143)6492
33.8%
ValueCountFrequency (%)
011457
59.7%
15001
 
< 0.1%
1666.6666671
 
< 0.1%
20002
 
< 0.1%
25002
 
< 0.1%
ValueCountFrequency (%)
300500001
< 0.1%
90000001
< 0.1%
8318333.3331
< 0.1%
7916666.6671
< 0.1%
65000002
< 0.1%

ipnt
Real number (ℝ≥0)

ZEROS

Distinct2678
Distinct (%)14.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean190845.436
Minimum0
Maximum30050000
Zeros11457
Zeros (%)59.7%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:15:03.731357image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3282625
95-th percentile898308.3333
Maximum30050000
Range30050000
Interquartile range (IQR)282625

Descriptive statistics

Standard deviation449395.2626
Coefficient of variation (CV)2.354760334
Kurtosis1046.494344
Mean190845.436
Median Absolute Deviation (MAD)0
Skewness18.77377092
Sum3662514762
Variance2.01956102 × 1011
MonotonicityNot monotonic
2022-08-24T10:15:03.891927image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
011457
59.7%
200000177
 
0.9%
300000141
 
0.7%
100000130
 
0.7%
293500112
 
0.6%
342416.6667112
 
0.6%
150000107
 
0.6%
250000105
 
0.5%
40000098
 
0.5%
391333.333394
 
0.5%
Other values (2668)6658
34.7%
ValueCountFrequency (%)
011457
59.7%
15001
 
< 0.1%
1666.6666671
 
< 0.1%
20002
 
< 0.1%
25002
 
< 0.1%
ValueCountFrequency (%)
300500001
< 0.1%
90000001
< 0.1%
7916666.6671
< 0.1%
7457333.3331
< 0.1%
65000001
< 0.1%

isit
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct71
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1421.244278
Minimum0
Maximum2900000
Zeros19059
Zeros (%)99.3%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:15:04.058166image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum2900000
Range2900000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation33361.08107
Coefficient of variation (CV)23.47315066
Kurtosis3551.738128
Mean1421.244278
Median Absolute Deviation (MAD)0
Skewness50.76080051
Sum27275098.95
Variance1112961730
MonotonicityNot monotonic
2022-08-24T10:15:04.213656image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
019059
99.3%
1500008
 
< 0.1%
200006
 
< 0.1%
100006
 
< 0.1%
500006
 
< 0.1%
3000006
 
< 0.1%
1000005
 
< 0.1%
300005
 
< 0.1%
2000005
 
< 0.1%
1250004
 
< 0.1%
Other values (61)81
 
0.4%
ValueCountFrequency (%)
019059
99.3%
12501
 
< 0.1%
45002
 
< 0.1%
50001
 
< 0.1%
60001
 
< 0.1%
ValueCountFrequency (%)
29000001
< 0.1%
16400001
< 0.1%
12750001
< 0.1%
10000002
< 0.1%
8400001
< 0.1%

issb
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct52
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1552.313547
Minimum0
Maximum3900000
Zeros19102
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:15:04.375277image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum3900000
Range3900000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation47260.00844
Coefficient of variation (CV)30.44488566
Kurtosis4184.042414
Mean1552.313547
Median Absolute Deviation (MAD)0
Skewness59.58653433
Sum29790449.28
Variance2233508398
MonotonicityNot monotonic
2022-08-24T10:15:04.534024image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
019102
99.5%
800008
 
< 0.1%
3000007
 
< 0.1%
2500004
 
< 0.1%
2000004
 
< 0.1%
200004
 
< 0.1%
1000004
 
< 0.1%
4000004
 
< 0.1%
400003
 
< 0.1%
300002
 
< 0.1%
Other values (42)49
 
0.3%
ValueCountFrequency (%)
019102
99.5%
50001
 
< 0.1%
60001
 
< 0.1%
100001
 
< 0.1%
120001
 
< 0.1%
ValueCountFrequency (%)
39000001
< 0.1%
30000002
< 0.1%
15438001
< 0.1%
8500001
< 0.1%
8000002
< 0.1%

issn
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct61
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1372.450886
Minimum0
Maximum2964950
Zeros19102
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:15:04.693892image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum2964950
Range2964950
Interquartile range (IQR)0

Descriptive statistics

Standard deviation38428.00267
Coefficient of variation (CV)27.9995467
Kurtosis3446.165484
Mean1372.450886
Median Absolute Deviation (MAD)0
Skewness53.51957768
Sum26338704.95
Variance1476711389
MonotonicityNot monotonic
2022-08-24T10:15:04.841302image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
019102
99.5%
2685007
 
< 0.1%
800007
 
< 0.1%
200004
 
< 0.1%
1000003
 
< 0.1%
400003
 
< 0.1%
1790003
 
< 0.1%
3580003
 
< 0.1%
600002
 
< 0.1%
300002
 
< 0.1%
Other values (51)55
 
0.3%
ValueCountFrequency (%)
019102
99.5%
50001
 
< 0.1%
60001
 
< 0.1%
100001
 
< 0.1%
120001
 
< 0.1%
ValueCountFrequency (%)
29649501
< 0.1%
23394502
< 0.1%
15438001
< 0.1%
8000001
< 0.1%
7599501
< 0.1%

isbt
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct101
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2973.557825
Minimum0
Maximum3900000
Zeros18970
Zeros (%)98.8%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:15:05.005038image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum3900000
Range3900000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation57810.53074
Coefficient of variation (CV)19.44153574
Kurtosis2257.031565
Mean2973.557825
Median Absolute Deviation (MAD)0
Skewness42.23331391
Sum57065548.22
Variance3342057464
MonotonicityNot monotonic
2022-08-24T10:15:05.161655image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
018970
98.8%
30000013
 
0.1%
8000010
 
0.1%
2000010
 
0.1%
15000010
 
0.1%
1000009
 
< 0.1%
2000009
 
< 0.1%
500008
 
< 0.1%
300007
 
< 0.1%
100007
 
< 0.1%
Other values (91)138
 
0.7%
ValueCountFrequency (%)
018970
98.8%
12501
 
< 0.1%
45002
 
< 0.1%
50002
 
< 0.1%
60002
 
< 0.1%
ValueCountFrequency (%)
39000001
< 0.1%
30000002
< 0.1%
29000001
< 0.1%
16400001
< 0.1%
15438001
< 0.1%

isnt
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct112
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2793.695164
Minimum0
Maximum2964950
Zeros18970
Zeros (%)98.8%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:15:05.310370image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum2964950
Range2964950
Interquartile range (IQR)0

Descriptive statistics

Standard deviation50850.48417
Coefficient of variation (CV)18.20187285
Kurtosis1776.35058
Mean2793.695164
Median Absolute Deviation (MAD)0
Skewness37.34906388
Sum53613803.9
Variance2585771740
MonotonicityNot monotonic
2022-08-24T10:15:05.445565image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
018970
98.8%
2000010
 
0.1%
800009
 
< 0.1%
1500009
 
< 0.1%
500008
 
< 0.1%
1000008
 
< 0.1%
300007
 
< 0.1%
100007
 
< 0.1%
2685007
 
< 0.1%
3000006
 
< 0.1%
Other values (102)150
 
0.8%
ValueCountFrequency (%)
018970
98.8%
12501
 
< 0.1%
45002
 
< 0.1%
50002
 
< 0.1%
60002
 
< 0.1%
ValueCountFrequency (%)
29649501
< 0.1%
29000001
< 0.1%
23394502
< 0.1%
16400001
< 0.1%
15438001
< 0.1%

itrbt
Real number (ℝ≥0)

ZEROS

Distinct2203
Distinct (%)11.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean211610.2097
Minimum0
Maximum30050000
Zeros11454
Zeros (%)59.7%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:15:05.592942image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3300000
95-th percentile993333.3333
Maximum30050000
Range30050000
Interquartile range (IQR)300000

Descriptive statistics

Standard deviation502756.3743
Coefficient of variation (CV)2.375860668
Kurtosis680.4886169
Mean211610.2097
Median Absolute Deviation (MAD)0
Skewness14.84225481
Sum4061011535
Variance2.527639719 × 1011
MonotonicityNot monotonic
2022-08-24T10:15:05.734282image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
011454
59.7%
200000186
 
1.0%
300000181
 
0.9%
325000136
 
0.7%
100000134
 
0.7%
400000128
 
0.7%
379166.6667118
 
0.6%
250000116
 
0.6%
350000115
 
0.6%
433333.3333106
 
0.6%
Other values (2193)6517
34.0%
ValueCountFrequency (%)
011454
59.7%
15001
 
< 0.1%
20002
 
< 0.1%
25002
 
< 0.1%
30002
 
< 0.1%
ValueCountFrequency (%)
300500001
< 0.1%
90000001
< 0.1%
86850001
< 0.1%
8318333.3331
< 0.1%
7916666.6671
< 0.1%

itrnt
Real number (ℝ≥0)

ZEROS

Distinct2754
Distinct (%)14.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean193639.1312
Minimum0
Maximum30050000
Zeros11454
Zeros (%)59.7%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:15:05.879385image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3285147.5
95-th percentile907958.3333
Maximum30050000
Range30050000
Interquartile range (IQR)285147.5

Descriptive statistics

Standard deviation458154.3421
Coefficient of variation (CV)2.366021472
Kurtosis972.3224463
Mean193639.1312
Median Absolute Deviation (MAD)0
Skewness18.07046165
Sum3716128566
Variance2.099054012 × 1011
MonotonicityNot monotonic
2022-08-24T10:15:06.019797image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
011454
59.7%
200000174
 
0.9%
300000134
 
0.7%
100000132
 
0.7%
342416.6667111
 
0.6%
293500109
 
0.6%
250000103
 
0.5%
150000100
 
0.5%
391333.333394
 
0.5%
40000093
 
0.5%
Other values (2744)6687
34.8%
ValueCountFrequency (%)
011454
59.7%
15001
 
< 0.1%
20002
 
< 0.1%
25002
 
< 0.1%
30002
 
< 0.1%
ValueCountFrequency (%)
300500001
< 0.1%
90000001
< 0.1%
7916666.6671
< 0.1%
7457333.3331
< 0.1%
69064001
< 0.1%

irp
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct181
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8436.853849
Minimum0
Maximum9262800
Zeros18585
Zeros (%)96.8%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:15:06.165489image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum9262800
Range9262800
Interquartile range (IQR)0

Descriptive statistics

Standard deviation121167.6724
Coefficient of variation (CV)14.36171285
Kurtosis2959.847697
Mean8436.853849
Median Absolute Deviation (MAD)0
Skewness45.96521017
Sum161911662.2
Variance1.468160483 × 1010
MonotonicityNot monotonic
2022-08-24T10:15:06.302672image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
018585
96.8%
10000044
 
0.2%
20000032
 
0.2%
15000028
 
0.1%
16666.6666720
 
0.1%
5000018
 
0.1%
30000018
 
0.1%
50000017
 
0.1%
40000016
 
0.1%
2500015
 
0.1%
Other values (171)398
 
2.1%
ValueCountFrequency (%)
018585
96.8%
833.33333332
 
< 0.1%
12501
 
< 0.1%
1416.6666671
 
< 0.1%
15001
 
< 0.1%
ValueCountFrequency (%)
92628001
< 0.1%
8111093.3331
< 0.1%
33000001
< 0.1%
32913811
< 0.1%
30000002
< 0.1%

ttm
Real number (ℝ≥0)

ZEROS

Distinct730
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean51174.39364
Minimum0
Maximum5416666.667
Zeros14515
Zeros (%)75.6%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:15:06.439890image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile252416.6667
Maximum5416666.667
Range5416666.667
Interquartile range (IQR)0

Descriptive statistics

Standard deviation186137.3397
Coefficient of variation (CV)3.637314024
Kurtosis101.462473
Mean51174.39364
Median Absolute Deviation (MAD)0
Skewness8.005478546
Sum982087788.4
Variance3.464710921 × 1010
MonotonicityNot monotonic
2022-08-24T10:15:06.585717image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
014515
75.6%
18000487
 
2.5%
88833.33333444
 
2.3%
30000400
 
2.1%
40000146
 
0.8%
140833.3333128
 
0.7%
100000100
 
0.5%
5000096
 
0.5%
216666.666778
 
0.4%
6000071
 
0.4%
Other values (720)2726
 
14.2%
ValueCountFrequency (%)
014515
75.6%
3333.3333331
 
< 0.1%
35001
 
< 0.1%
50001
 
< 0.1%
8333.3333334
 
< 0.1%
ValueCountFrequency (%)
5416666.6671
< 0.1%
3340179.1671
< 0.1%
32500001
< 0.1%
3088333.3331
< 0.1%
29250001
< 0.1%

itpb
Real number (ℝ≥0)

ZEROS

Distinct2943
Distinct (%)15.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean272781.1013
Minimum0
Maximum30050000
Zeros7095
Zeros (%)37.0%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:15:06.729415image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median88833.33333
Q3357500
95-th percentile1108931.887
Maximum30050000
Range30050000
Interquartile range (IQR)357500

Descriptive statistics

Standard deviation541754.9984
Coefficient of variation (CV)1.986043006
Kurtosis514.2832834
Mean272781.1013
Median Absolute Deviation (MAD)88833.33333
Skewness12.78445566
Sum5234942115
Variance2.934984783 × 1011
MonotonicityNot monotonic
2022-08-24T10:15:06.878017image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
07095
37.0%
18000486
 
2.5%
30000437
 
2.3%
88833.33333379
 
2.0%
100000215
 
1.1%
200000206
 
1.1%
300000198
 
1.0%
40000191
 
1.0%
325000184
 
1.0%
50000153
 
0.8%
Other values (2933)9647
50.3%
ValueCountFrequency (%)
07095
37.0%
20001
 
< 0.1%
2083.3333332
 
< 0.1%
30001
 
< 0.1%
3333.3333331
 
< 0.1%
ValueCountFrequency (%)
300500001
< 0.1%
113628001
< 0.1%
90000001
< 0.1%
89350001
< 0.1%
86527601
< 0.1%

itpn
Real number (ℝ≥0)

ZEROS

Distinct3653
Distinct (%)19.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean254810.0227
Minimum0
Maximum30050000
Zeros7095
Zeros (%)37.0%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:15:07.019882image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median88833.33333
Q3335625
95-th percentile1037866.667
Maximum30050000
Range30050000
Interquartile range (IQR)335625

Descriptive statistics

Standard deviation501938.6617
Coefficient of variation (CV)1.969854468
Kurtosis688.0513862
Mean254810.0227
Median Absolute Deviation (MAD)88833.33333
Skewness14.92836057
Sum4890059146
Variance2.519424201 × 1011
MonotonicityNot monotonic
2022-08-24T10:15:07.147540image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
07095
37.0%
18000486
 
2.5%
30000437
 
2.3%
88833.33333379
 
2.0%
100000213
 
1.1%
200000195
 
1.0%
40000189
 
1.0%
50000153
 
0.8%
300000153
 
0.8%
150000145
 
0.8%
Other values (3643)9746
50.8%
ValueCountFrequency (%)
07095
37.0%
20001
 
< 0.1%
2083.3333332
 
< 0.1%
30001
 
< 0.1%
3333.3333331
 
< 0.1%
ValueCountFrequency (%)
300500001
< 0.1%
113628001
< 0.1%
90000001
< 0.1%
86527601
< 0.1%
7916666.6671
< 0.1%

sab
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct265
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6413.180362
Minimum0
Maximum4940160
Zeros18741
Zeros (%)97.7%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:15:07.294833image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum4940160
Range4940160
Interquartile range (IQR)0

Descriptive statistics

Standard deviation59303.41131
Coefficient of variation (CV)9.247114218
Kurtosis2553.652565
Mean6413.180362
Median Absolute Deviation (MAD)0
Skewness35.24802627
Sum123075344.3
Variance3516894593
MonotonicityNot monotonic
2022-08-24T10:15:07.431094image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
018741
97.7%
20000016
 
0.1%
26000013
 
0.1%
15000013
 
0.1%
2400008
 
< 0.1%
1000007
 
< 0.1%
3250007
 
< 0.1%
800006
 
< 0.1%
433333.33336
 
< 0.1%
3000006
 
< 0.1%
Other values (255)368
 
1.9%
ValueCountFrequency (%)
018741
97.7%
50003
 
< 0.1%
60002
 
< 0.1%
80001
 
< 0.1%
90001
 
< 0.1%
ValueCountFrequency (%)
49401601
< 0.1%
1408333.3331
< 0.1%
1161949.6861
< 0.1%
866666.66671
< 0.1%
8225001
< 0.1%

san
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct283
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6057.214887
Minimum0
Maximum4940160
Zeros18741
Zeros (%)97.7%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:15:07.571368image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum4940160
Range4940160
Interquartile range (IQR)0

Descriptive statistics

Standard deviation56738.5455
Coefficient of variation (CV)9.367101309
Kurtosis3026.417804
Mean6057.214887
Median Absolute Deviation (MAD)0
Skewness38.93547649
Sum116244010.9
Variance3219262546
MonotonicityNot monotonic
2022-08-24T10:15:07.721176image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
018741
97.7%
20000016
 
0.1%
15000013
 
0.1%
2600009
 
< 0.1%
1000008
 
< 0.1%
2598008
 
< 0.1%
2935007
 
< 0.1%
2400007
 
< 0.1%
300006
 
< 0.1%
800006
 
< 0.1%
Other values (273)370
 
1.9%
ValueCountFrequency (%)
018741
97.7%
50003
 
< 0.1%
60002
 
< 0.1%
80001
 
< 0.1%
90001
 
< 0.1%
ValueCountFrequency (%)
49401601
< 0.1%
1222833.3331
< 0.1%
10100001
< 0.1%
8225001
< 0.1%
8000001
< 0.1%

snab
Real number (ℝ≥0)

ZEROS

Distinct1857
Distinct (%)9.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean169545.937
Minimum0
Maximum8685000
Zeros13742
Zeros (%)71.6%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:15:07.876104image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3178225.8334
95-th percentile920833.3333
Maximum8685000
Range8685000
Interquartile range (IQR)178225.8334

Descriptive statistics

Standard deviation416228.1042
Coefficient of variation (CV)2.454957703
Kurtosis49.1323916
Mean169545.937
Median Absolute Deviation (MAD)0
Skewness5.25224955
Sum3253756078
Variance1.732458347 × 1011
MonotonicityNot monotonic
2022-08-24T10:15:08.026749image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
013742
71.6%
325000122
 
0.6%
379166.6667116
 
0.6%
433333.3333100
 
0.5%
30000086
 
0.4%
65000080
 
0.4%
541666.666777
 
0.4%
35000072
 
0.4%
48750069
 
0.4%
20000056
 
0.3%
Other values (1847)4671
 
24.3%
ValueCountFrequency (%)
013742
71.6%
20001
 
< 0.1%
30001
 
< 0.1%
40002
 
< 0.1%
60001
 
< 0.1%
ValueCountFrequency (%)
86850001
< 0.1%
8318333.3331
< 0.1%
65000001
< 0.1%
6266666.6671
< 0.1%
5916666.6671
< 0.1%

snan
Real number (ℝ≥0)

ZEROS

Distinct2308
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean151930.8239
Minimum0
Maximum7457333.333
Zeros13742
Zeros (%)71.6%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:15:08.190746image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3173200
95-th percentile830783.3333
Maximum7457333.333
Range7457333.333
Interquartile range (IQR)173200

Descriptive statistics

Standard deviation359464.7029
Coefficient of variation (CV)2.365976131
Kurtosis41.06336502
Mean151930.8239
Median Absolute Deviation (MAD)0
Skewness4.763155302
Sum2915704442
Variance1.292148727 × 1011
MonotonicityNot monotonic
2022-08-24T10:15:08.351318image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
013742
71.6%
342416.6667109
 
0.6%
293500102
 
0.5%
391333.333389
 
0.5%
489166.666776
 
0.4%
58700067
 
0.3%
44025063
 
0.3%
26850050
 
0.3%
313066.666744
 
0.2%
20000044
 
0.2%
Other values (2298)4805
 
25.0%
ValueCountFrequency (%)
013742
71.6%
20001
 
< 0.1%
30001
 
< 0.1%
40002
 
< 0.1%
60001
 
< 0.1%
ValueCountFrequency (%)
7457333.3331
< 0.1%
69064001
< 0.1%
5006566.6671
< 0.1%
4923613.6671
< 0.1%
48413001
< 0.1%

iag
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct162
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3847.025867
Minimum0
Maximum4770000
Zeros18921
Zeros (%)98.6%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:15:08.508898image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum4770000
Range4770000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation58447.12064
Coefficient of variation (CV)15.19280677
Kurtosis2589.641891
Mean3847.025867
Median Absolute Deviation (MAD)0
Skewness40.08799284
Sum73828273.42
Variance3416065911
MonotonicityNot monotonic
2022-08-24T10:15:08.676837image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
018921
98.6%
20000014
 
0.1%
10000012
 
0.1%
30000010
 
0.1%
800007
 
< 0.1%
2500007
 
< 0.1%
1200007
 
< 0.1%
1500005
 
< 0.1%
500005
 
< 0.1%
400004
 
< 0.1%
Other values (152)199
 
1.0%
ValueCountFrequency (%)
018921
98.6%
12501
 
< 0.1%
1666.6666671
 
< 0.1%
25002
 
< 0.1%
37501
 
< 0.1%
ValueCountFrequency (%)
47700001
< 0.1%
2291666.6671
< 0.1%
16750001
< 0.1%
15000001
< 0.1%
13000001
< 0.1%

inag
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct352
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31804.06647
Minimum0
Maximum30050000
Zeros17512
Zeros (%)91.3%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:15:08.863595image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile150000
Maximum30050000
Range30050000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation293356.4843
Coefficient of variation (CV)9.22386716
Kurtosis5831.626833
Mean31804.06647
Median Absolute Deviation (MAD)0
Skewness61.65922673
Sum610351839.6
Variance8.605802686 × 1010
MonotonicityNot monotonic
2022-08-24T10:15:09.008206image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
017512
91.3%
200000104
 
0.5%
30000088
 
0.5%
10000079
 
0.4%
40000074
 
0.4%
15000070
 
0.4%
25000066
 
0.3%
5000054
 
0.3%
50000053
 
0.3%
2000043
 
0.2%
Other values (342)1048
 
5.5%
ValueCountFrequency (%)
017512
91.3%
15001
 
< 0.1%
20001
 
< 0.1%
30001
 
< 0.1%
40002
 
< 0.1%
ValueCountFrequency (%)
300500001
< 0.1%
90000001
< 0.1%
7916666.6671
< 0.1%
65000001
< 0.1%
55000001
< 0.1%

ipbh
Real number (ℝ≥0)

ZEROS

Distinct2728
Distinct (%)14.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean958313.0027
Minimum0
Maximum42835000
Zeros2689
Zeros (%)14.0%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:15:09.164448image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1260000
median599625
Q31233608.007
95-th percentile3114583.333
Maximum42835000
Range42835000
Interquartile range (IQR)973608.007

Descriptive statistics

Standard deviation1234167.862
Coefficient of variation (CV)1.287854656
Kurtosis149.9644362
Mean958313.0027
Median Absolute Deviation (MAD)462504.921
Skewness6.648188655
Sum1.839098483 × 1010
Variance1.523170313 × 1012
MonotonicityNot monotonic
2022-08-24T10:15:09.304057image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
02689
 
14.0%
390000189
 
1.0%
520000182
 
0.9%
455000157
 
0.8%
325000141
 
0.7%
260000132
 
0.7%
492916.6667127
 
0.7%
845000125
 
0.7%
130000113
 
0.6%
563333.3333109
 
0.6%
Other values (2718)15227
79.3%
ValueCountFrequency (%)
02689
14.0%
19501
 
< 0.1%
40004
 
< 0.1%
52005
 
< 0.1%
64001
 
< 0.1%
ValueCountFrequency (%)
428350002
< 0.1%
138710004
< 0.1%
12406333.334
< 0.1%
117000002
< 0.1%
105625002
< 0.1%

ipnh
Real number (ℝ≥0)

ZEROS

Distinct3265
Distinct (%)17.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean877873.664
Minimum0
Maximum42835000
Zeros2689
Zeros (%)14.0%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:15:09.451682image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1258790
median566908.3333
Q31147466.667
95-th percentile2822159.167
Maximum42835000
Range42835000
Interquartile range (IQR)888676.667

Descriptive statistics

Standard deviation1111805.395
Coefficient of variation (CV)1.266475394
Kurtosis221.9663269
Mean877873.664
Median Absolute Deviation (MAD)424350.3334
Skewness7.975615118
Sum1.684727349 × 1010
Variance1.236111236 × 1012
MonotonicityNot monotonic
2022-08-24T10:15:09.595297image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
02689
 
14.0%
390000148
 
0.8%
520000132
 
0.7%
325000130
 
0.7%
260000125
 
0.7%
445141.6667117
 
0.6%
130000113
 
0.6%
508733.3333102
 
0.5%
45500093
 
0.5%
57232576
 
0.4%
Other values (3255)15466
80.6%
ValueCountFrequency (%)
02689
14.0%
19501
 
< 0.1%
40004
 
< 0.1%
52005
 
< 0.1%
64001
 
< 0.1%
ValueCountFrequency (%)
428350002
< 0.1%
117000002
< 0.1%
11225608.334
< 0.1%
109428804
< 0.1%
10291666.674
< 0.1%

isbh
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct106
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13466.71545
Minimum0
Maximum5070000
Zeros18466
Zeros (%)96.2%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:15:09.726600image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum5070000
Range5070000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation140547.1635
Coefficient of variation (CV)10.43663275
Kurtosis597.4841267
Mean13466.71545
Median Absolute Deviation (MAD)0
Skewness21.57448624
Sum258439736.2
Variance1.975350516 × 1010
MonotonicityNot monotonic
2022-08-24T10:15:09.868209image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
018466
96.2%
19500039
 
0.2%
39000036
 
0.2%
13000034
 
0.2%
10400032
 
0.2%
2600030
 
0.2%
26000029
 
0.2%
6500024
 
0.1%
7800022
 
0.1%
3900019
 
0.1%
Other values (96)460
 
2.4%
ValueCountFrequency (%)
018466
96.2%
20006
 
< 0.1%
58504
 
< 0.1%
65008
 
< 0.1%
78002
 
< 0.1%
ValueCountFrequency (%)
50700002
 
< 0.1%
45500004
< 0.1%
39000003
< 0.1%
37700002
 
< 0.1%
24375005
< 0.1%

isnh
Real number (ℝ≥0)

ZEROS

Distinct115
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12803.04202
Minimum0
Maximum3854435
Zeros18466
Zeros (%)96.2%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:15:10.011781image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum3854435
Range3854435
Interquartile range (IQR)0

Descriptive statistics

Standard deviation126225.5493
Coefficient of variation (CV)9.859027966
Kurtosis452.996843
Mean12803.04202
Median Absolute Deviation (MAD)0
Skewness18.92414831
Sum245703179.3
Variance1.593288929 × 1010
MonotonicityNot monotonic
2022-08-24T10:15:10.152023image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
018466
96.2%
19500039
 
0.2%
2600030
 
0.2%
10400030
 
0.2%
13000029
 
0.2%
6500024
 
0.1%
7800022
 
0.1%
3900019
 
0.1%
1300018
 
0.1%
26000018
 
0.1%
Other values (105)496
 
2.6%
ValueCountFrequency (%)
018466
96.2%
20006
 
< 0.1%
58504
 
< 0.1%
65008
 
< 0.1%
78002
 
< 0.1%
ValueCountFrequency (%)
38544352
 
< 0.1%
37700002
 
< 0.1%
36912854
< 0.1%
30412853
< 0.1%
24375005
< 0.1%

irph
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct188
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean46838.17688
Minimum0
Maximum19266624
Zeros17608
Zeros (%)91.8%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:15:10.319419image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile166400
Maximum19266624
Range19266624
Interquartile range (IQR)0

Descriptive statistics

Standard deviation435849.5552
Coefficient of variation (CV)9.30543382
Kurtosis962.8637914
Mean46838.17688
Median Absolute Deviation (MAD)0
Skewness26.66088688
Sum898871452.5
Variance1.899648348 × 1011
MonotonicityNot monotonic
2022-08-24T10:15:10.464740image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
017608
91.8%
208000117
 
0.6%
41600087
 
0.5%
31200062
 
0.3%
10400057
 
0.3%
34666.6666748
 
0.3%
16640045
 
0.2%
62400039
 
0.2%
83200035
 
0.2%
52000035
 
0.2%
Other values (178)1058
 
5.5%
ValueCountFrequency (%)
017608
91.8%
1733.3333336
 
< 0.1%
26002
 
< 0.1%
2946.6666671
 
< 0.1%
3293.3333331
 
< 0.1%
ValueCountFrequency (%)
192666243
< 0.1%
17459295.362
< 0.1%
9561327.364
< 0.1%
85862403
< 0.1%
7192739.1472
< 0.1%

ttmh
Real number (ℝ≥0)

ZEROS

Distinct985
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean147451.7981
Minimum0
Maximum5416666.667
Zeros8848
Zeros (%)46.1%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:15:10.613056image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median30000
Q3162500
95-th percentile650000
Maximum5416666.667
Range5416666.667
Interquartile range (IQR)162500

Descriptive statistics

Standard deviation322950.5116
Coefficient of variation (CV)2.190210739
Kurtosis57.02306459
Mean147451.7981
Median Absolute Deviation (MAD)30000
Skewness5.862491739
Sum2829747457
Variance1.04297033 × 1011
MonotonicityNot monotonic
2022-08-24T10:15:10.753886image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
08848
46.1%
88833.33333438
 
2.3%
18000420
 
2.2%
30000398
 
2.1%
140833.3333181
 
0.9%
60000175
 
0.9%
40000173
 
0.9%
48000168
 
0.9%
100000163
 
0.8%
216666.6667153
 
0.8%
Other values (975)8074
42.1%
ValueCountFrequency (%)
08848
46.1%
50001
 
< 0.1%
8333.3333334
 
< 0.1%
86602
 
< 0.1%
1000016
 
0.1%
ValueCountFrequency (%)
5416666.6677
< 0.1%
48750002
 
< 0.1%
46056553
< 0.1%
45500002
 
< 0.1%
3358333.3332
 
< 0.1%

tnmh
Real number (ℝ≥0)

ZEROS

Distinct78
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3248.417177
Minimum0
Maximum962000
Zeros18435
Zeros (%)96.1%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:15:10.911704image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum962000
Range962000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation24766.09868
Coefficient of variation (CV)7.62405114
Kurtosis299.8625211
Mean3248.417177
Median Absolute Deviation (MAD)0
Skewness14.20833605
Sum62340374.04
Variance613359644
MonotonicityNot monotonic
2022-08-24T10:15:11.050105image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
018435
96.1%
3000095
 
0.5%
5000078
 
0.4%
10000063
 
0.3%
4000041
 
0.2%
6000040
 
0.2%
1500038
 
0.2%
15000035
 
0.2%
2000034
 
0.2%
20000033
 
0.2%
Other values (68)299
 
1.6%
ValueCountFrequency (%)
018435
96.1%
30001
 
< 0.1%
50005
 
< 0.1%
55005
 
< 0.1%
70004
 
< 0.1%
ValueCountFrequency (%)
9620001
 
< 0.1%
7000001
 
< 0.1%
6000002
< 0.1%
5500002
< 0.1%
4500003
< 0.1%

itbh
Real number (ℝ≥0)

ZEROS

Distinct2761
Distinct (%)14.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean971779.7181
Minimum0
Maximum42835000
Zeros2684
Zeros (%)14.0%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:15:11.191351image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1260000
median604500
Q31245833.333
95-th percentile3185000
Maximum42835000
Range42835000
Interquartile range (IQR)985833.333

Descriptive statistics

Standard deviation1259691.854
Coefficient of variation (CV)1.296273045
Kurtosis139.1338156
Mean971779.7181
Median Absolute Deviation (MAD)463666.6667
Skewness6.455400825
Sum1.864942457 × 1010
Variance1.586823567 × 1012
MonotonicityNot monotonic
2022-08-24T10:15:11.325736image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
02684
 
14.0%
390000188
 
1.0%
520000177
 
0.9%
455000147
 
0.8%
325000141
 
0.7%
260000134
 
0.7%
492916.6667127
 
0.7%
845000125
 
0.7%
130000114
 
0.6%
563333.3333109
 
0.6%
Other values (2751)15245
79.4%
ValueCountFrequency (%)
02684
14.0%
19501
 
< 0.1%
40004
 
< 0.1%
52005
 
< 0.1%
64001
 
< 0.1%
ValueCountFrequency (%)
428350002
< 0.1%
138710004
< 0.1%
12406333.334
< 0.1%
117000002
< 0.1%
112905002
< 0.1%

itnh
Real number (ℝ≥0)

ZEROS

Distinct3295
Distinct (%)17.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean890676.706
Minimum0
Maximum42835000
Zeros2684
Zeros (%)14.0%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:15:11.466095image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1260000
median572000
Q31155790.768
95-th percentile2870833.333
Maximum42835000
Range42835000
Interquartile range (IQR)895790.768

Descriptive statistics

Standard deviation1134014.373
Coefficient of variation (CV)1.273205379
Kurtosis205.6125128
Mean890676.706
Median Absolute Deviation (MAD)429000
Skewness7.685018774
Sum1.709297667 × 1010
Variance1.285988597 × 1012
MonotonicityNot monotonic
2022-08-24T10:15:11.596872image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
02684
 
14.0%
390000147
 
0.8%
325000130
 
0.7%
260000127
 
0.7%
520000127
 
0.7%
445141.6667117
 
0.6%
130000114
 
0.6%
508733.3333102
 
0.5%
45500086
 
0.4%
635916.666776
 
0.4%
Other values (3285)15481
80.7%
ValueCountFrequency (%)
02684
14.0%
19501
 
< 0.1%
40004
 
< 0.1%
52005
 
< 0.1%
64001
 
< 0.1%
ValueCountFrequency (%)
428350002
< 0.1%
117000002
< 0.1%
11225608.334
< 0.1%
109428804
< 0.1%
10291666.674
< 0.1%

ithb
Real number (ℝ≥0)

Distinct4180
Distinct (%)21.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1169318.11
Minimum0
Maximum42835000
Zeros53
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:15:11.823854image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile130000
Q1416000
median760500
Q31440833.333
95-th percentile3567696.911
Maximum42835000
Range42835000
Interquartile range (IQR)1024833.333

Descriptive statistics

Standard deviation1393380.729
Coefficient of variation (CV)1.191618189
Kurtosis109.0634356
Mean1169318.11
Median Absolute Deviation (MAD)435500
Skewness6.286598742
Sum2.244038385 × 1010
Variance1.941509856 × 1012
MonotonicityNot monotonic
2022-08-24T10:15:12.009627image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
520000109
 
0.6%
39000095
 
0.5%
88833.3333385
 
0.4%
13000079
 
0.4%
32500074
 
0.4%
84500072
 
0.4%
26000069
 
0.4%
45500068
 
0.4%
177666.666763
 
0.3%
65000059
 
0.3%
Other values (4170)18418
96.0%
ValueCountFrequency (%)
053
0.3%
91001
 
< 0.1%
128001
 
< 0.1%
160002
 
< 0.1%
180003
 
< 0.1%
ValueCountFrequency (%)
428350002
< 0.1%
238722793
< 0.1%
18371474.032
< 0.1%
15623650.812
< 0.1%
14997666.674
< 0.1%

ithn
Real number (ℝ≥0)

Distinct4689
Distinct (%)24.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1088215.098
Minimum0
Maximum42835000
Zeros53
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:15:12.162918image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile130000
Q1400000
median717866.6667
Q31344122
95-th percentile3212560
Maximum42835000
Range42835000
Interquartile range (IQR)944122

Descriptive statistics

Standard deviation1278925.032
Coefficient of variation (CV)1.175250218
Kurtosis149.0817749
Mean1088215.098
Median Absolute Deviation (MAD)398233.3334
Skewness7.245770681
Sum2.088393595 × 1010
Variance1.635649237 × 1012
MonotonicityNot monotonic
2022-08-24T10:15:13.475313image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
52000094
 
0.5%
88833.3333385
 
0.4%
13000079
 
0.4%
32500072
 
0.4%
39000071
 
0.4%
26000069
 
0.4%
177666.666763
 
0.3%
65000056
 
0.3%
445141.666755
 
0.3%
053
 
0.3%
Other values (4679)18494
96.4%
ValueCountFrequency (%)
053
0.3%
91001
 
< 0.1%
128001
 
< 0.1%
160002
 
< 0.1%
180003
 
< 0.1%
ValueCountFrequency (%)
428350002
< 0.1%
238722793
< 0.1%
18371474.032
< 0.1%
148200002
< 0.1%
14566685.812
< 0.1%

ipcb
Real number (ℝ≥0)

Distinct4455
Distinct (%)23.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean348405.4014
Minimum0
Maximum21417500
Zeros53
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:15:13.679729image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile40000
Q1110458.3334
median207458.3333
Q3402277.7778
95-th percentile1120000
Maximum21417500
Range21417500
Interquartile range (IQR)291819.4444

Descriptive statistics

Standard deviation503651.4178
Coefficient of variation (CV)1.445590154
Kurtosis359.4755235
Mean348405.4014
Median Absolute Deviation (MAD)118625
Skewness11.7864152
Sum6686248058
Variance2.536647506 × 1011
MonotonicityNot monotonic
2022-08-24T10:15:13.839340image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13000095
 
0.5%
88833.3333384
 
0.4%
32500073
 
0.4%
6500072
 
0.4%
16250064
 
0.3%
19500059
 
0.3%
26000054
 
0.3%
053
 
0.3%
42250053
 
0.3%
7800052
 
0.3%
Other values (4445)18532
96.6%
ValueCountFrequency (%)
053
0.3%
41346
 
< 0.1%
4285.7142867
 
< 0.1%
52005
 
< 0.1%
60003
 
< 0.1%
ValueCountFrequency (%)
214175002
< 0.1%
9185737.0132
< 0.1%
7957426.3333
< 0.1%
7811825.4072
< 0.1%
74100002
< 0.1%

ipcn
Real number (ℝ≥0)

Distinct4914
Distinct (%)25.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean324938.406
Minimum0
Maximum21417500
Zeros53
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:15:13.987942image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile40000
Q1105625
median195000
Q3377866.6667
95-th percentile1025808.333
Maximum21417500
Range21417500
Interquartile range (IQR)272241.6667

Descriptive statistics

Standard deviation470308.4444
Coefficient of variation (CV)1.447377213
Kurtosis466.3396393
Mean324938.406
Median Absolute Deviation (MAD)109970.6131
Skewness13.60952402
Sum6235892949
Variance2.211900328 × 1011
MonotonicityNot monotonic
2022-08-24T10:15:14.148527image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
88833.3333379
 
0.4%
6500072
 
0.4%
13000072
 
0.4%
32500069
 
0.4%
16250056
 
0.3%
053
 
0.3%
2600049
 
0.3%
26000045
 
0.2%
19500044
 
0.2%
7800043
 
0.2%
Other values (4904)18609
97.0%
ValueCountFrequency (%)
053
0.3%
41346
 
< 0.1%
4285.7142867
 
< 0.1%
52005
 
< 0.1%
60003
 
< 0.1%
ValueCountFrequency (%)
214175002
< 0.1%
9185737.0132
< 0.1%
7957426.3333
< 0.1%
74100002
< 0.1%
7283342.9072
< 0.1%

isanh
Real number (ℝ≥0)

ZEROS

Distinct2744
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean732913.8609
Minimum0
Maximum10721880
Zeros5265
Zeros (%)27.4%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:15:14.363986image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median460568.3333
Q3989104.1908
95-th percentile2539290
Maximum10721880
Range10721880
Interquartile range (IQR)989104.1908

Descriptive statistics

Standard deviation957594.2001
Coefficient of variation (CV)1.306557634
Kurtosis14.35571387
Mean732913.8609
Median Absolute Deviation (MAD)460568.3333
Skewness2.957740759
Sum1.40653499 × 1010
Variance9.169866521 × 1011
MonotonicityNot monotonic
2022-08-24T10:15:14.516580image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
05265
27.4%
445141.6667153
 
0.8%
508733.3333141
 
0.7%
381550105
 
0.5%
635916.6667105
 
0.5%
57232593
 
0.5%
76310090
 
0.5%
34905081
 
0.4%
406986.666779
 
0.4%
890283.333366
 
0.3%
Other values (2734)13013
67.8%
ValueCountFrequency (%)
05265
27.4%
78002
 
< 0.1%
79506
 
< 0.1%
93603
 
< 0.1%
95402
 
< 0.1%
ValueCountFrequency (%)
107218804
< 0.1%
10266858.334
< 0.1%
95387502
< 0.1%
89783202
< 0.1%
8634854.44
< 0.1%

iaunh
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct530
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean157762.8451
Minimum0
Maximum42835000
Zeros13421
Zeros (%)69.9%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:15:14.658358image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q365000
95-th percentile808050
Maximum42835000
Range42835000
Interquartile range (IQR)65000

Descriptive statistics

Standard deviation668430.5348
Coefficient of variation (CV)4.236932557
Kurtosis1776.413217
Mean157762.8451
Median Absolute Deviation (MAD)0
Skewness31.22925627
Sum3027626761
Variance4.467993799 × 1011
MonotonicityNot monotonic
2022-08-24T10:15:14.877238image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
013421
69.9%
390000269
 
1.4%
130000229
 
1.2%
520000223
 
1.2%
260000216
 
1.1%
325000181
 
0.9%
195000147
 
0.8%
65000145
 
0.8%
455000129
 
0.7%
650000124
 
0.6%
Other values (520)4107
 
21.4%
ValueCountFrequency (%)
013421
69.9%
19501
 
< 0.1%
20006
 
< 0.1%
39004
 
< 0.1%
40004
 
< 0.1%
ValueCountFrequency (%)
428350002
 
< 0.1%
117000002
 
< 0.1%
10291666.674
< 0.1%
91000006
< 0.1%
84500004
< 0.1%

tsebh
Real number (ℝ≥0)

ZEROS

Distinct195
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21137.03253
Minimum0
Maximum1818570
Zeros14224
Zeros (%)74.1%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:15:15.016466image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q318000
95-th percentile108000
Maximum1818570
Range1818570
Interquartile range (IQR)18000

Descriptive statistics

Standard deviation52426.06406
Coefficient of variation (CV)2.480294431
Kurtosis158.4640522
Mean21137.03253
Median Absolute Deviation (MAD)0
Skewness7.241085506
Sum405640791.2
Variance2748492193
MonotonicityNot monotonic
2022-08-24T10:15:15.161775image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
014224
74.1%
88833.33333758
 
3.9%
18000567
 
3.0%
30000508
 
2.6%
48000272
 
1.4%
36000202
 
1.1%
60000196
 
1.0%
40000178
 
0.9%
177666.6667156
 
0.8%
70000108
 
0.6%
Other values (185)2022
 
10.5%
ValueCountFrequency (%)
014224
74.1%
100004
 
< 0.1%
135004
 
< 0.1%
1500016
 
0.1%
170003
 
< 0.1%
ValueCountFrequency (%)
18185702
 
< 0.1%
6000003
 
< 0.1%
543333.33336
< 0.1%
4210004
 
< 0.1%
40000011
0.1%

oth
Real number (ℝ≥0)

ZEROS

Distinct815
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean129563.1827
Minimum0
Maximum5416666.667
Zeros11734
Zeros (%)61.1%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:15:15.309072image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3140833.3333
95-th percentile650000
Maximum5416666.667
Range5416666.667
Interquartile range (IQR)140833.3333

Descriptive statistics

Standard deviation323132.552
Coefficient of variation (CV)2.494015238
Kurtosis57.65142417
Mean129563.1827
Median Absolute Deviation (MAD)0
Skewness5.932849926
Sum2486447040
Variance1.044146462 × 1011
MonotonicityNot monotonic
2022-08-24T10:15:15.506257image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
011734
61.1%
140833.3333215
 
1.1%
100000185
 
1.0%
216666.6667161
 
0.8%
50000158
 
0.8%
162500142
 
0.7%
541666.6667139
 
0.7%
325000125
 
0.7%
40000109
 
0.6%
130000107
 
0.6%
Other values (805)6116
31.9%
ValueCountFrequency (%)
011734
61.1%
30001
 
< 0.1%
50003
 
< 0.1%
55005
 
< 0.1%
70004
 
< 0.1%
ValueCountFrequency (%)
5416666.6677
< 0.1%
48750002
 
< 0.1%
46056553
< 0.1%
45500002
 
< 0.1%
3358333.3332
 
< 0.1%

lp
Real number (ℝ≥0)

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean107660.8098
Minimum88300
Maximum114670
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:15:15.626475image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum88300
5-th percentile88300
Q188300
median114670
Q3114670
95-th percentile114670
Maximum114670
Range26370
Interquartile range (IQR)26370

Descriptive statistics

Standard deviation11649.49228
Coefficient of variation (CV)0.108205505
Kurtosis-0.8756822044
Mean107660.8098
Median Absolute Deviation (MAD)0
Skewness-1.060381566
Sum2066118600
Variance135710670.5
MonotonicityNot monotonic
2022-08-24T10:15:15.717577image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
11467014090
73.4%
883005101
 
26.6%
ValueCountFrequency (%)
883005101
 
26.6%
11467014090
73.4%
ValueCountFrequency (%)
11467014090
73.4%
883005101
 
26.6%

np
Real number (ℝ≥0)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.687822417
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:15:15.814443image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q33
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5901194489
Coefficient of variation (CV)0.2195529903
Kurtosis1.856994142
Mean2.687822417
Median Absolute Deviation (MAD)0
Skewness-1.733244178
Sum51582
Variance0.348240964
MonotonicityNot monotonic
2022-08-24T10:15:15.901547image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
314481
75.5%
23429
 
17.9%
11281
 
6.7%
ValueCountFrequency (%)
11281
 
6.7%
23429
 
17.9%
314481
75.5%
ValueCountFrequency (%)
314481
75.5%
23429
 
17.9%
11281
 
6.7%

iPM_E1
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01907143974
Minimum0
Maximum1
Zeros18825
Zeros (%)98.1%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:15:16.002681image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1367797309
Coefficient of variation (CV)7.171966711
Kurtosis47.46654707
Mean0.01907143974
Median Absolute Deviation (MAD)0
Skewness7.032894164
Sum366
Variance0.01870869479
MonotonicityNot monotonic
2022-08-24T10:15:16.086948image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
018825
98.1%
1366
 
1.9%
ValueCountFrequency (%)
018825
98.1%
1366
 
1.9%
ValueCountFrequency (%)
1366
 
1.9%
018825
98.1%

iPM_E2
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.04642801313
Minimum0
Maximum1
Zeros18300
Zeros (%)95.4%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:15:16.222749image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2104156833
Coefficient of variation (CV)4.5320846
Kurtosis16.59204425
Mean0.04642801313
Median Absolute Deviation (MAD)0
Skewness4.31164877
Sum891
Variance0.04427475979
MonotonicityNot monotonic
2022-08-24T10:15:16.341913image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
018300
95.4%
1891
 
4.6%
ValueCountFrequency (%)
018300
95.4%
1891
 
4.6%
ValueCountFrequency (%)
1891
 
4.6%
018300
95.4%

iPM_E3
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.09707675473
Minimum0
Maximum1
Zeros17328
Zeros (%)90.3%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:15:16.477212image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2960699682
Coefficient of variation (CV)3.049854406
Kurtosis5.410363202
Mean0.09707675473
Median Absolute Deviation (MAD)0
Skewness2.722094666
Sum1863
Variance0.08765742605
MonotonicityNot monotonic
2022-08-24T10:15:16.599170image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
017328
90.3%
11863
 
9.7%
ValueCountFrequency (%)
017328
90.3%
11863
 
9.7%
ValueCountFrequency (%)
11863
 
9.7%
017328
90.3%

iPM_E4
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2810692512
Minimum0
Maximum1
Zeros13797
Zeros (%)71.9%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:15:16.684350image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4495329322
Coefficient of variation (CV)1.599367168
Kurtosis-1.051164617
Mean0.2810692512
Median Absolute Deviation (MAD)0
Skewness0.9741380506
Sum5394
Variance0.2020798572
MonotonicityNot monotonic
2022-08-24T10:15:16.778064image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
013797
71.9%
15394
 
28.1%
ValueCountFrequency (%)
013797
71.9%
15394
 
28.1%
ValueCountFrequency (%)
15394
 
28.1%
013797
71.9%

iPM_VUi1
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1308425825
Minimum0
Maximum1
Zeros16680
Zeros (%)86.9%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:15:16.869900image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3372369007
Coefficient of variation (CV)2.577424676
Kurtosis2.794351987
Mean0.1308425825
Median Absolute Deviation (MAD)0
Skewness2.189534376
Sum2511
Variance0.1137287272
MonotonicityNot monotonic
2022-08-24T10:15:16.952887image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
016680
86.9%
12511
 
13.1%
ValueCountFrequency (%)
016680
86.9%
12511
 
13.1%
ValueCountFrequency (%)
12511
 
13.1%
016680
86.9%

iPM_VUi2
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.07873482362
Minimum0
Maximum1
Zeros17680
Zeros (%)92.1%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:15:17.043644image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.269331452
Coefficient of variation (CV)3.420741162
Kurtosis7.78866589
Mean0.07873482362
Median Absolute Deviation (MAD)0
Skewness3.12855465
Sum1511
Variance0.07253943103
MonotonicityNot monotonic
2022-08-24T10:15:17.131458image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
017680
92.1%
11511
 
7.9%
ValueCountFrequency (%)
017680
92.1%
11511
 
7.9%
ValueCountFrequency (%)
11511
 
7.9%
017680
92.1%

iPM_VUi3
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.09916106508
Minimum0
Maximum1
Zeros17288
Zeros (%)90.1%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:15:17.215233image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2988859367
Coefficient of variation (CV)3.014146092
Kurtosis5.196345993
Mean0.09916106508
Median Absolute Deviation (MAD)0
Skewness2.682499667
Sum1903
Variance0.08933280319
MonotonicityNot monotonic
2022-08-24T10:15:17.298011image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
017288
90.1%
11903
 
9.9%
ValueCountFrequency (%)
017288
90.1%
11903
 
9.9%
ValueCountFrequency (%)
11903
 
9.9%
017288
90.1%

iPM_VUi4
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.05335834506
Minimum0
Maximum1
Zeros18167
Zeros (%)94.7%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:15:17.386118image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2247528959
Coefficient of variation (CV)4.212141432
Kurtosis13.80148507
Mean0.05335834506
Median Absolute Deviation (MAD)0
Skewness3.974927263
Sum1024
Variance0.05051386423
MonotonicityNot monotonic
2022-08-24T10:15:17.470311image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
018167
94.7%
11024
 
5.3%
ValueCountFrequency (%)
018167
94.7%
11024
 
5.3%
ValueCountFrequency (%)
11024
 
5.3%
018167
94.7%

iPM_S1
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3442238549
Minimum0
Maximum1
Zeros12585
Zeros (%)65.6%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:15:17.561103image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4751268838
Coefficient of variation (CV)1.380284594
Kurtosis-1.570099519
Mean0.3442238549
Median Absolute Deviation (MAD)0
Skewness0.6557927424
Sum6606
Variance0.2257455557
MonotonicityNot monotonic
2022-08-24T10:15:17.655255image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
012585
65.6%
16606
34.4%
ValueCountFrequency (%)
012585
65.6%
16606
34.4%
ValueCountFrequency (%)
16606
34.4%
012585
65.6%

iPM_S2
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.04231150018
Minimum0
Maximum1
Zeros18379
Zeros (%)95.8%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:15:17.746013image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.20130412
Coefficient of variation (CV)4.75766917
Kurtosis18.68359739
Mean0.04231150018
Median Absolute Deviation (MAD)0
Skewness4.547708245
Sum812
Variance0.04052334872
MonotonicityNot monotonic
2022-08-24T10:15:17.838763image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
018379
95.8%
1812
 
4.2%
ValueCountFrequency (%)
018379
95.8%
1812
 
4.2%
ValueCountFrequency (%)
1812
 
4.2%
018379
95.8%

iPM_S3
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01891511646
Minimum0
Maximum1
Zeros18828
Zeros (%)98.1%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:15:17.941626image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1362288584
Coefficient of variation (CV)7.202115762
Kurtosis47.89983988
Mean0.01891511646
Median Absolute Deviation (MAD)0
Skewness7.063628528
Sum363
Variance0.01855830186
MonotonicityNot monotonic
2022-08-24T10:15:18.035375image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
018828
98.1%
1363
 
1.9%
ValueCountFrequency (%)
018828
98.1%
1363
 
1.9%
ValueCountFrequency (%)
1363
 
1.9%
018828
98.1%

iPM_S4
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.06049710802
Minimum0
Maximum1
Zeros18030
Zeros (%)94.0%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:15:18.129123image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2384117651
Coefficient of variation (CV)3.940878712
Kurtosis11.59744243
Mean0.06049710802
Median Absolute Deviation (MAD)0
Skewness3.687307122
Sum1161
Variance0.05684016975
MonotonicityNot monotonic
2022-08-24T10:15:18.219876image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
018030
94.0%
11161
 
6.0%
ValueCountFrequency (%)
018030
94.0%
11161
 
6.0%
ValueCountFrequency (%)
11161
 
6.0%
018030
94.0%

iPM_T1
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.06018446147
Minimum0
Maximum1
Zeros18036
Zeros (%)94.0%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:15:18.319623image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2378344793
Coefficient of variation (CV)3.951758868
Kurtosis11.68297928
Mean0.06018446147
Median Absolute Deviation (MAD)0
Skewness3.698886555
Sum1155
Variance0.05656523955
MonotonicityNot monotonic
2022-08-24T10:15:18.419558image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
018036
94.0%
11155
 
6.0%
ValueCountFrequency (%)
018036
94.0%
11155
 
6.0%
ValueCountFrequency (%)
11155
 
6.0%
018036
94.0%

iPM_T2.1
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1205252462
Minimum0
Maximum1
Zeros16878
Zeros (%)87.9%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:15:18.523333image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3255832227
Coefficient of variation (CV)2.701369488
Kurtosis3.43526675
Mean0.1205252462
Median Absolute Deviation (MAD)0
Skewness2.331289075
Sum2313
Variance0.1060044349
MonotonicityNot monotonic
2022-08-24T10:15:18.619080image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
016878
87.9%
12313
 
12.1%
ValueCountFrequency (%)
016878
87.9%
12313
 
12.1%
ValueCountFrequency (%)
12313
 
12.1%
016878
87.9%

iPM_T2.2
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2680944193
Minimum0
Maximum1
Zeros14046
Zeros (%)73.2%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:15:18.716815image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.442978585
Coefficient of variation (CV)1.652323037
Kurtosis-0.9035971657
Mean0.2680944193
Median Absolute Deviation (MAD)0
Skewness1.047137533
Sum5145
Variance0.1962300267
MonotonicityNot monotonic
2022-08-24T10:15:18.814784image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
014046
73.2%
15145
 
26.8%
ValueCountFrequency (%)
014046
73.2%
15145
 
26.8%
ValueCountFrequency (%)
15145
 
26.8%
014046
73.2%

iPM_T3
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1634099317
Minimum0
Maximum1
Zeros16055
Zeros (%)83.7%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:15:18.927248image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.369748901
Coefficient of variation (CV)2.26270764
Kurtosis1.315563
Mean0.1634099317
Median Absolute Deviation (MAD)0
Skewness1.820831104
Sum3136
Variance0.1367142498
MonotonicityNot monotonic
2022-08-24T10:15:19.021996image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
016055
83.7%
13136
 
16.3%
ValueCountFrequency (%)
016055
83.7%
13136
 
16.3%
ValueCountFrequency (%)
13136
 
16.3%
016055
83.7%

iPM_PS1
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.05028398729
Minimum0
Maximum1
Zeros18226
Zeros (%)95.0%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:15:19.119737image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2185360301
Coefficient of variation (CV)4.346036222
Kurtosis14.94419886
Mean0.05028398729
Median Absolute Deviation (MAD)0
Skewness4.116144003
Sum965
Variance0.04775799647
MonotonicityNot monotonic
2022-08-24T10:15:19.213484image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
018226
95.0%
1965
 
5.0%
ValueCountFrequency (%)
018226
95.0%
1965
 
5.0%
ValueCountFrequency (%)
1965
 
5.0%
018226
95.0%

iPM_PS2
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.06544734511
Minimum0
Maximum1
Zeros17935
Zeros (%)93.5%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:15:19.309440image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2473199899
Coefficient of variation (CV)3.778915547
Kurtosis10.35249893
Mean0.06544734511
Median Absolute Deviation (MAD)0
Skewness3.514458713
Sum1256
Variance0.06116717741
MonotonicityNot monotonic
2022-08-24T10:15:19.403188image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
017935
93.5%
11256
 
6.5%
ValueCountFrequency (%)
017935
93.5%
11256
 
6.5%
ValueCountFrequency (%)
11256
 
6.5%
017935
93.5%

iPM_PS3
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0966077849
Minimum0
Maximum1
Zeros17337
Zeros (%)90.3%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:15:19.495935image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2954306496
Coefficient of variation (CV)3.058041854
Kurtosis5.459806621
Mean0.0966077849
Median Absolute Deviation (MAD)0
Skewness2.731160492
Sum1854
Variance0.08727926872
MonotonicityNot monotonic
2022-08-24T10:15:19.585665image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
017337
90.3%
11854
 
9.7%
ValueCountFrequency (%)
017337
90.3%
11854
 
9.7%
ValueCountFrequency (%)
11854
 
9.7%
017337
90.3%

iPM_PS4
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1526236257
Minimum0
Maximum1
Zeros16262
Zeros (%)84.7%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:15:19.681443image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3596336942
Coefficient of variation (CV)2.356343539
Kurtosis1.732942795
Mean0.1526236257
Median Absolute Deviation (MAD)0
Skewness1.932035767
Sum2929
Variance0.129336394
MonotonicityNot monotonic
2022-08-24T10:15:19.767200image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
016262
84.7%
12929
 
15.3%
ValueCountFrequency (%)
016262
84.7%
12929
 
15.3%
ValueCountFrequency (%)
12929
 
15.3%
016262
84.7%

iPM_intensidad
Real number (ℝ≥0)

ZEROS

Distinct24
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.05024230109
Minimum0
Maximum0.566666667
Zeros15635
Zeros (%)81.5%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:15:19.865121image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.3
Maximum0.566666667
Range0.566666667
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1101785929
Coefficient of variation (CV)2.1929448
Kurtosis3.129017286
Mean0.05024230109
Median Absolute Deviation (MAD)0
Skewness2.030634426
Sum964.2000002
Variance0.01213932233
MonotonicityNot monotonic
2022-08-24T10:15:19.967226image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
015635
81.5%
0.216666667674
 
3.5%
0.2539
 
2.8%
0.266666667432
 
2.3%
0.233333333394
 
2.1%
0.25326
 
1.7%
0.316666667230
 
1.2%
0.283333333222
 
1.2%
0.333333333147
 
0.8%
0.3109
 
0.6%
Other values (14)483
 
2.5%
ValueCountFrequency (%)
015635
81.5%
0.2539
 
2.8%
0.216666667674
 
3.5%
0.233333333394
 
2.1%
0.25326
 
1.7%
ValueCountFrequency (%)
0.56666666719
0.1%
0.5520
0.1%
0.53333333321
0.1%
0.51666666734
0.2%
0.55
 
< 0.1%

Q_iPCN
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.884008129
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:15:20.065878image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.377815032
Coefficient of variation (CV)0.4777431167
Kurtosis-1.231745236
Mean2.884008129
Median Absolute Deviation (MAD)1
Skewness0.1078066364
Sum55347
Variance1.898374262
MonotonicityNot monotonic
2022-08-24T10:15:20.163028image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
24274
22.3%
34010
20.9%
14007
20.9%
43738
19.5%
53162
16.5%
ValueCountFrequency (%)
14007
20.9%
24274
22.3%
34010
20.9%
43738
19.5%
53162
16.5%
ValueCountFrequency (%)
53162
16.5%
43738
19.5%
34010
20.9%
24274
22.3%
14007
20.9%

D_iPCN
Real number (ℝ≥0)

Distinct10
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.250690428
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:15:20.269180image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median5
Q38
95-th percentile10
Maximum10
Range9
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.785401985
Coefficient of variation (CV)0.5304829952
Kurtosis-1.156629263
Mean5.250690428
Median Absolute Deviation (MAD)2
Skewness0.0982840317
Sum100766
Variance7.758464218
MonotonicityNot monotonic
2022-08-24T10:15:20.352242image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
32180
11.4%
42094
10.9%
52027
10.6%
12005
10.4%
22002
10.4%
71987
10.4%
61983
10.3%
81751
9.1%
91729
9.0%
101433
7.5%
ValueCountFrequency (%)
12005
10.4%
22002
10.4%
32180
11.4%
42094
10.9%
52027
10.6%
ValueCountFrequency (%)
101433
7.5%
91729
9.0%
81751
9.1%
71987
10.4%
61983
10.3%

Q_ZON_iPCN
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.869991142
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:15:20.437015image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.373777876
Coefficient of variation (CV)0.4786697271
Kurtosis-1.223905823
Mean2.869991142
Median Absolute Deviation (MAD)1
Skewness0.1082369832
Sum55078
Variance1.887265654
MonotonicityNot monotonic
2022-08-24T10:15:20.522938image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
24182
21.8%
14096
21.3%
34082
21.3%
43783
19.7%
53048
15.9%
ValueCountFrequency (%)
14096
21.3%
24182
21.8%
34082
21.3%
43783
19.7%
53048
15.9%
ValueCountFrequency (%)
53048
15.9%
43783
19.7%
34082
21.3%
24182
21.8%
14096
21.3%

D_ZON_iPCN
Real number (ℝ≥0)

Distinct10
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.232869574
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:15:20.621985image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median5
Q38
95-th percentile10
Maximum10
Range9
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.786985928
Coefficient of variation (CV)0.5325922781
Kurtosis-1.151844359
Mean5.232869574
Median Absolute Deviation (MAD)2
Skewness0.100830875
Sum100424
Variance7.767290561
MonotonicityNot monotonic
2022-08-24T10:15:20.706186image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
32100
10.9%
52087
10.9%
42082
10.8%
12052
10.7%
22044
10.7%
61995
10.4%
71895
9.9%
81888
9.8%
91598
8.3%
101450
7.6%
ValueCountFrequency (%)
12052
10.7%
22044
10.7%
32100
10.9%
42082
10.8%
52087
10.9%
ValueCountFrequency (%)
101450
7.6%
91598
8.3%
81888
9.8%
71895
9.9%
61995
10.4%

Q_REG_iPCN
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.762075973
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:15:20.793476image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.374934531
Coefficient of variation (CV)0.4977902653
Kurtosis-1.202471057
Mean2.762075973
Median Absolute Deviation (MAD)1
Skewness0.1999118012
Sum53007
Variance1.890444966
MonotonicityNot monotonic
2022-08-24T10:15:20.883292image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
14668
24.3%
24229
22.0%
34027
21.0%
43535
18.4%
52732
14.2%
ValueCountFrequency (%)
14668
24.3%
24229
22.0%
34027
21.0%
43535
18.4%
52732
14.2%
ValueCountFrequency (%)
52732
14.2%
43535
18.4%
34027
21.0%
24229
22.0%
14668
24.3%

D_REG_iPCN
Real number (ℝ≥0)

Distinct10
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.004481267
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:15:20.983971image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median5
Q37
95-th percentile10
Maximum10
Range9
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.793627963
Coefficient of variation (CV)0.5582252813
Kurtosis-1.134018763
Mean5.004481267
Median Absolute Deviation (MAD)2
Skewness0.1804788716
Sum96041
Variance7.804357197
MonotonicityNot monotonic
2022-08-24T10:15:21.065752image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
12485
12.9%
22183
11.4%
32120
11.0%
42109
11.0%
52097
10.9%
61930
10.1%
71791
9.3%
81744
9.1%
91480
7.7%
101252
6.5%
ValueCountFrequency (%)
12485
12.9%
22183
11.4%
32120
11.0%
42109
11.0%
52097
10.9%
ValueCountFrequency (%)
101252
6.5%
91480
7.7%
81744
9.1%
71791
9.3%
61930
10.1%

iPM_Pobreza
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1852951905
Minimum0
Maximum1
Zeros15635
Zeros (%)81.5%
Negative0
Negative (%)0.0%
Memory size150.1 KiB
2022-08-24T10:15:21.153659image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3885469721
Coefficient of variation (CV)2.096908026
Kurtosis0.6247079692
Mean0.1852951905
Median Absolute Deviation (MAD)0
Skewness1.62007496
Sum3556
Variance0.1509687495
MonotonicityNot monotonic
2022-08-24T10:15:21.243769image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
015635
81.5%
13556
 
18.5%
ValueCountFrequency (%)
015635
81.5%
13556
 
18.5%
ValueCountFrequency (%)
13556
 
18.5%
015635
81.5%